Artificial Intelligence, Machine Learning, Quantitative Finance, Risk Management, Financial Data Science, Digital Finance.
Associate Professor of Finance and Artificial Intelligence, University of Twente, NL, 2021 – Present
Teaching and supervision of BSc and MSc theses on Machine Learning, Reinforcement Learning and Artificial Intelligence
Leading collaboration with ING on technical-quantitative topics and coordinating the MSCA Industrial Doctoral Network on Digital Finance.
Professor of Finance, Bern Business School, CH, 2022 – Present
Teaching and supervision of BSc and MSc theses on Machine Learning and Artificial Intelligence in Business and Information Systems programs.
Leading Swiss National Science Foundation (SNSF)-funded research projects.
Lecturer/Professor of Risk Management, ZHAW, CH, 2015 – 2022
Teaching and supervision of BSc and MSc theses on Machine Learning and Artificial Intelligence in Data Science, Industrial Engineering, and Information Systems programs.
Leading Innosuisse, SNSF, and directly funded research projects.
Ph.D. in Mathematics, ETH Zürich, CH (Swiss Federal Institute of Technology, Department of Mathematics, 2003 – 2007
Financial Mathematics Group
Thesis: "Arbitrage Opportunities and Market Microstructure" (under the supervision of Prof. Dr. F. Delbaen)
Scholar of the German Academic Merit Foundation for PhD Studies
M.Sc. in Mathematics, Syracuse University, US, 2000 – 2002
Scholar of the German Academic Merit Foundation for Graduate Studies
Thesis: Jacobian Matrices
M.Sc. in Business Economics, University of Ulm, Germany, 1998 – 2002
Graduated with Honors
Quantitative Research and Portfolio Management, Man Investments, Pfäffikon, CH, Nov 2012 – Dec 2014
Quantitative modelling and research
Design and implementation of a Risk-Parity Multi-Asset strategy, including tail-risk and trend-following aspects
Senior Vice President, Regulatory Projects, Credit Suisse Group, Zürich, CH, Feb 2012 – Oct 2012
Managed regulatory projects, ensuring compliance with international financial regulations.
Executive Director, Global Markets, Goldman Sachs, London, UK, Apr 2009 – Jan 2012
Quantitative Research and Implementation of Algorithmic Execution strategies, most notably VWAP and Implementation Shortfall for the European equity markets
Associate, Global Markets, Merrill Lynch, London, UK, Apr 2007 – Mar 2009
Supported quantitative research and trading strategies across global markets, focusing on data analysis and market microstructure for Algorithm Execution strategies.
Summer Associate, The Boston Consulting Group, Düsseldorf, Germany, Jun 2002 – Aug 2002
Assisted in mathematical modelling and strategic planning for industrial clients.
Summer Associate, Oliver Wyman & Co, Frankfurt, Germany, Jun 2001 – Aug 2001
Contributed to consulting projects in risk management and financial modeling.
COST Action Chair, COST Action Fintech and AI in Finance, 2020 – 2024
Led the European COST Action on Fintech and AI in Finance, with 400 academic members from 51 countries.
Coordinated international research collaborations, organized conferences and workshops, and enabled interdisciplinary research across member institutions.
PI and Coordinator, MSCA Industrial Doctoral Network on Digital Finance, since January 2024
Lead the MSCA Industrial Doctoral Network on Digital Finance, a European PhD research and training programme focused on digital finance.
Managing over €3.8M in funding from the European Horizon framework
More than 20 institutions and 100 participating researchers from academia and industry
Key partners include the European Central Bank, ING, Deutsche Börse, and the Bank for International Settlements.
Principal Investigator, Swiss National Science Foundation (SNSF), since 2020
Principal Investigator for several major research projects funded by SNSF.
Responsible for project design, securing funding, overseeing research activities, and ensuring the successful completion of research objectives.
Narrative Digital Finance: a tale of structural breaks, bubbles & market narratives
Anomaly and fraud detection in blockchain networks
Network-based credit risk models in P2P lending markets
Hybrid Approach for Robust Identification and Measurement of Investors Driving Corporate Sustainability and Innovation. Design of Policy Tools for Evaluating the Impact of Specific Investors and Assessing the Quality of Companies’ Investor Bases
Mathematics and Fintech - the next revolution in the digital transformation of the finance industry
Steering Committee Member, Luxembourg National Research Fund (FNR). since June 2024
Oversee the development and implementation of the NCER line "Financial Technologies".
Promote transdisciplinary research and intersectoral collaboration to address societal-relevant financial missions.
ING Group, Joint Professorship (UT-ING Collaboration), since May 2021
Partnering with ING Group's Global Analytics team on AI-driven finance research, including synthetic data generation, risk management, federated learning, reinforcement learning applications, and credit risk early warning systems.
European Central Bank, Cooperation Partner within MSCA Digital Finance, since Sept 2023
Collaborating on AI and data science initiatives under the MSCA framework, focusing on AI for the supervision tasks of ECB.
Bank for International Settlements, Cooperation Partner within MSCA Digital Finance, since Sept 2023
Engaged in data science and statistics projects to enhance global financial analysis
Deutsche Börse, Collaboration Partner within SNSF Narrative Digital Finance, since Jan 2024
Partnering with Deutsche Börse’s Quantitative Research team on narrative digital finance projects funded by the Swiss National Science Foundation, focusing on HFT and market microstructure.
Quoniam Asset Management, Strategic Partner in AI Research, 2016
Collaborating on AI-driven portfolio optimization and predictive analytics tools to enhance asset management strategies.
QCAM Currency Asset Management, Cooperation Partner on New Asset Management Products, 2017 – 2020
Worked on developing new currency overlay asset management products.
Executive Education
Generative AI for CFOs | CFO Workshop MENA | Fall 2024 | Workshop on AI’s business impact for 60+ CFOs.
CAS Sustainable Finance | University of Zurich, CH | Fall 2021–2024 | Module on AI in sustainable finance.
CAS Big Data & Distributed Ledger | ZHAW, CH | 2019–2022 | Director of Studies, Machine Learning in Finance.
Machine Learning and DL in Finance | ZHAW, CH | 2021 | Director of Studies, curriculum and teaching.
Financial Technology | Horizon Europe | 2017–2020 | Research and training on fintech at European Central Banks.
Algorithmic Trading – Latest Developments | Deutsche Börse | 2019 | Workshop on algorithmic trading for senior executives.
Basel IV and Beyond – Latest Regulations | UBS | 2019–2020 | Training for 100+ UBS employees globally on Basel IV.
Doctoral Level Courses
Reinforcement Learning for Finance | University of Twente, NL | June 2024 | Co-Organizer & Trainer.
Methods for Fintech & AI in Finance | University of Naples, Italy | Sept 2024 | Scientific Committee, Trainer.
Fintech and AI in Finance Training School | University of Twente, NL | June 2024 | Organizer & Trainer.
Advanced Statistical Modelling for Fintech & Financial Inclusion | University of Naples, Italy | Sept 2023 | Lecturer.
European Summer School in Financial Mathematics | TU Delft, NL | Sept 2023 | Lecturer Deep Reinforcement Learning.
Fintech & AI in Finance Training School | University of Twente, NL | June 2023 | Organizer & Trainer.
Fintech & AI in Finance: Training School for Latest Technologies | University of Tirana, Albania | April 2023 | Lecturer.
Master’s Level Courses
Information Systems for the Financial Services Industry | University of Twente, NL | Spring 2025– | Coordinator. Developed curriculum.
Reinforcement Learning in Finance | University of Twente, NL | Spring 2022–2025 | Developed curriculum (40%).
Information Systems for the Financial Services Industry | University of Twente, NL | Spring 2022–2024 | AI in Finance.
Artificial Intelligence for Business | University of Twente, NL | Spring 2022–2024 | Deep RL in Finance.
Data Science for Business | University of Münster, DE | Spring 2022, 2023 | AI Business Models.
Digital Finance | Bern Business School, CH | Fall 2023, 2024 | ML and AI in finance.
Statistics for Finance | Bucharest Business School, RO | Spring 2024 | Invited International Lecturer.
Bachelor’s Level Courses
Digital Finance | Bern Business School, CH | Fall 2022–2024 | Developed curriculum on ML and AI.
AI and ML for Finance | Bern Business School, CH | Fall 2022–2024 | Introduced ML algorithms using Python.
Empirical Methods in Finance | ZHAW, CH | Spring 2022 | Developed curriculum.
Introduction to Interest Rate Theory | ZHAW, CH | Spring 2018, 2019 | Focus on interest rate models.
Quantitative Risk Management | ZHAW, CH | Spring 2015–2017 | Extended course with latest methods.
Mathematics of Financial Markets I | ZHAW, CH | Spring 2015–2016 | Asset pricing, financial markets.
Mathematics of Financial Markets II | ZHAW, CH | Fall 2015–2016 | CAPM and APT models.
Topics in Financial Engineering | ZHAW, CH | Spring 2016–2022 | Focus on real-world use cases.
Work-in-progress
1. Osterrieder, J., & Schlamp, S. (2025). Reaction times to economic news in high-frequency trading: An analysis of latency and informed trading ahead of macro-news announcements.
2. Taibi, G., Schlamp, S., & Osterrieder, J. (2024). Nanoseconds traders: How ultra-fast and high-frequency traders reshape market microstructure.
3. Taibi, G., Schlamp, S., & Osterrieder, J. (2024). Identifying market signals: A statistical/machine learning approach.
4. Chan, S., Osterrieder, J., Zhang, Y., & Chu, J. (2024). Tail-risk of metaverse non-fungible tokens.
5. Machado, M. R., Coita, I. F., Gómez Teijeiro, L., Wenzlaff, K., Gregoriades, A., & Osterrieder, J. R., et al. (2024). Crowdfunding fraud detection: A systematic literature review.
Peer-Reviewed Journal Articles
1. van Braak, B., Osterrieder, J. R., & Machado, M. R. (2025). How can consumers without credit history benefit from the use of information processing and machine learning tools by financial institutions? Information Processing & Management, 62(2), 103972.
2. Kozian, L. L., Machado, M. R., & Osterrieder, J. R. (2025). Modeling commodity price co-movement: Building on traditional time series models and exploring applications of machine learning algorithms. Decisions in Economics and Finance, 1-44.
3. Beltman, J., Machado, M. R., & Osterrieder, J. R. (2025). Predicting retail customers' distress in the finance industry: An early warning system approach. Journal of Retailing and Consumer Services, 82, 104101.
4. Amato, A., Osterrieder, J. R., & Machado, M. R. (2025). How can artificial intelligence help customer intelligence for credit portfolio management? A systematic literature review. International Journal of Information Management Data Insights, 4(2), 100234.
5. Chan, S., Chandrashekhar, D., Almazloum, W., Zhang, Y., Lord, N., Osterrieder, J., & Chu, J. (2024). Stylized facts of metaverse non-fungible tokens. Physica A: Statistical Mechanics and its Applications, 130103. Elsevier.
6. Liu, Y., Baals, L. J., Osterrieder, J., & Hadji-Misheva, B. (2024). Leveraging network topology for credit risk assessment in P2P lending: A comparative study under the lens of machine learning. Expert Systems with Applications, 252, 124100.
7. Liu, Y., Baals, L. J., Osterrieder, J., & Hadji-Misheva, B. (2024). Network centrality and credit risk: A comprehensive analysis of peer-to-peer lending dynamics. Finance Research Letters, 63, 105308. Elsevier.
8. Coita, I.-F., Belbe, Ș. Ș., Mare, C., Osterrieder, J., & Hopp, C. (2023). Modelling taxpayers’ behaviour based on prediction of trust using sentiment analysis. Finance Research Letters, 58, 104549. Elsevier.
9. Osterrieder, J., & Seigne, M. (2023). Examining share repurchase executions: Insights and synthesis from the existing literature. Frontiers in Applied Mathematics and Statistics, 9, 1265254. Frontiers Media SA.
10. Liu, Y., Osterrieder, J., Hadji-Misheva, B., Koenigstein, N., & Baals, L. (2023). Navigating the environmental, social, and governance (ESG) landscape: Constructing a robust and reliable scoring engine—Insights into data source selection, indicator determination, weighting and aggregation techniques, and validation processes for comprehensive ESG scoring systems. Open Research Europe, 3. European Commission, Directorate General for Research and Innovation.
11. Osterrieder, J. (2023). Share buybacks: A theoretical exploration of genetic algorithms and mathematical optionality. Frontiers in Artificial Intelligence, 6, 1276804. Frontiers Media SA.
12. Osterrieder, J., Misheva, B. H., & Machado, M. (2023). Digital finance: Reaching new frontiers. Open Research Europe, 3. European Commission, Directorate General for Research and Innovation.
13. Henrici, A., & Osterrieder, J. (2022). Artificial intelligence in finance and industry: Highlights from 6 European COST conferences. Frontiers in Artificial Intelligence, 5, 1007074. Frontiers Media SA.
14. Filipovska, O. (2022). Discussion on: Programmable money: Next-generation blockchain-based conditional payments by Ingo Weber and Mark Staples. Digital Finance, 4(2), 133–134. Springer International Publishing.
15. Hadji-Misheva, B., Jaggi, D., Posth, J.-A., Gramespacher, T., & Osterrieder, J. (2021). Audience-dependent explanations for AI-based risk management tools: A survey. Frontiers in Artificial Intelligence, 4, 794996. Frontiers Media SA.
16. Posth, J.-A., Kotlarz, P., Misheva, B. H., & Osterrieder, J. (2021). The applicability of self-play algorithms to trading and forecasting financial markets. Frontiers in Artificial Intelligence, 4, 668465. Frontiers Media SA.
17. Osterrieder, J., Kucharczyk, D., Rudolf, S., & Wittwer, D. (2020). Neural networks and arbitrage in the VIX: A deep learning approach for the VIX. Digital Finance, 2(1), 97–115. Springer International Publishing.
18. Osterrieder, J., & Barletta, A. (2020). Special issue on cryptocurrencies. Digital Finance, 1, 1–4. Springer International Publishing.
19. Giudici, P., Hochreiter, R., Osterrieder, J., Papenbrock, J., & Schwendner, P. (2019). AI and financial technology. Frontiers in Artificial Intelligence, 2, 25. Frontiers Media SA.
20. Osterrieder, J., & Barletta, A. (2019). Editorial on the special issue on cryptocurrencies. Digital Finance, 1, 1–4. Springer International Publishing.
21. Chu, J., Chan, S., Nadarajah, S., & Osterrieder, J. (2017). GARCH modelling of cryptocurrencies. Journal of Risk and Financial Management, 10(4), 17.
22. Chan, S., Chu, J., Nadarajah, S., & Osterrieder, J. (2017). A statistical analysis of cryptocurrencies. Journal of Risk and Financial Management, 10(2), 12.
23. Osterrieder, J., Strika, M., & Lorenz, J. (2017). Bitcoin and cryptocurrencies—not for the faint-hearted. International Finance and Banking, 4(1), 56.
24. Osterrieder, J., & Lorenz, J. (2017). A statistical risk assessment of Bitcoin and its extreme tail behavior. Annals of Financial Economics, 12(1), 1750003. World Scientific Publishing Company.
25. Lorenz, J., & Osterrieder, J. (2009). Simulation of a limit order driven market. The Journal of Trading, 4(1), 23–30. Portfolio Management Research.
26. Osterrieder, J. R., & Rheinländer, T. (2006). Arbitrage opportunities in diverse markets via a non-equivalent measure change. Annals of Finance, 2(3), 287–301. Springer.
Five Most Important Invited Talks and Presentations
1. Digital Transformation of EU's Financial Markets, 11th European Financial Regulation Conference, Panelist, October 11, 2022
2. Artificial Intelligence in Finance, FinTech Days Tirana: Digital Transformation—Where Tech Meets Finance, Honorary Speaker, September 23, 2022
3. Fintech and Artificial Intelligence in Finance - An Overview, IFC Workshop on Data Science in Central Banking: Applications and Tools, Keynote Speaker, February 14–17, 2022
4. Generative Adversarial Networks and Its Applications in Finance, 7th Annual Columbia-Bloomberg Machine Learning in Finance Conference, Invited Speaker, September 17, 2021
5. Generative Adversarial Networks and Some Applications in Finance, Advances in Stochastic Analysis Conference, CIRM, Luminy, France, Invited Speaker, September 13–17, 2021
I have led and co-led over 30 research projects, securing more than €8.0 million in third-party funding, of which €3.3 million directly attributable, from organizations such as Horizon Europe, the Swiss National Science Foundation, the COST (Cooperation in Science and Technology) Association, Innosuisse, and industry partners. As COST Action Chair for FinTech and AI in Finance (2020–2024) and Coordinator of the €3.8 million Marie Sklodowska-Curie Action Industrial Network on Digital Finance (2024–2027), I lead international research initiatives in digital finance and financial technology. As (Co-) Principal Investigator for multiple Swiss National Science Foundation projects, including Blockchain and Virtual Currencies, Mathematics and FinTech: Digital Transformation, Hybrid Approach for Identifying Investors Driving Sustainability and Innovation, Narrative Digital Finance, Network-Based Credit Risk Models in P2P, and Anomaly and Fraud Detection in Blockchain Networks, my work contributes to advancements in Machine Learning, Artificial Intelligence and Digital Finance.
1. MSCA Industrial Network on Digital Finance, Horizon Europe, €3,800,000, Coordinator, Jan 2024 – Dec 2027
2. COST Action FinTech and AI in Finance, Horizon Europe, €860,000, PI, Apr 2020 – Apr 2025
3. Narrative Digital Finance, SNSF, CHF 236,118, PI, Nov 2023 – Oct 2026
4. Network-Based Credit Risk Models in P2P , SNSF, CHF 347,836, PI, Aug 2022 – Aug 2025
5. Mathematics and FinTech: Digital Transformation, SNSF, CHF 300,000, PI, Jan 2016 – Dec 2019
6. Currency Hedging for SMEs and Pension Funds, Innosuisse, CHF 439,610, PI, Oct 2018 – Oct 2021
7. Financial Supervision and Technology Compliance , Horizon 2020, €200,000, PI, Apr 2018 – Apr 2021
8. Anomaly and Fraud Detection in Blockchain Networks, SNSF, CHF 6,700, PI, Aug 2022 – Aug 2023
9. Digital Transformation of Finance and Society, Institutional Fund, €20,000, PI, Jan 2023 – Dec 2023
10. Methods for Fintech and Artificial Intelligence in Finance, Blended Intensive Programme, €6,000, Co-PI, September 4-10, 2024
11. AI in Finance Conference, Institutional Fund, €5,000, PI, Jan 2023 – Dec 2023
12. Strategic Research Fund: Digital Finance, Institutional Fund, €10,000, PI, Jan 2023 – Dec 2023
13. Strategic Research Fund: NSF-SNF, Institutional Fund, €5,000, Co-PI, Jan 2023 – Dec 2023
14. FinTech and AI in Finance, COST Grants, €6,300, PI, Nov 2021 – Oct 2022
15. PhD Training School University of Twente, COST Grant, €4,000, PI, June 2024
16. 8th European Conference on AI in Finance, COST Grant, €4,000, PI, September 2022
17. 11th FinanceCom Conference, COST Grant, €6,000, PI, August 2022
18. Conferences on Artificial Intelligence in Finance, Innosuisse, CHF 80,000, PI, Jan 2021 – Jul 2022
19. Strengthening Swiss Financial SMEs through Reinforcement Learning, Innosuisse, CHF 312,315, Deputy PI, Apr 2021 – Jul 2022
20. Towards Explainable AI and Machine Learning in Credit Risk, Innosuisse, CHF 282,969, Co-PI, Sep 2020 – Sep 2022
21. Decentralized Financing of Fairtrade Producers Using Blockchains, Innosuisse, CHF 250,539, Deputy PI, Aug 2020 – Jan 2023
22. Advanced AI-Supported Rating Models for P2P Systems, Innosuisse, CHF 15,000, Co-PI, Jul 2020 – Jul 2021
23. Hybrid Approach for Identifying Investors Driving Sustainability and Innovation, SNSF, CHF 150,000, PI, Feb 2020 – Aug 2021
24. Digitalization of Non-Bankable Assets (Art), Innosuisse, CHF 300,000, Deputy PI, Jan 2020 – Jun 2020
25. Deep Learning & AI for Trading Strategies, Innosuisse, CHF 15,000, Deputy PI, Jul 2019 – Jan 2020
26. Assessment of Derivatives-Based Hedging Solutions, Industry, CHF 15,000, Co-PI, Jun 2021 – Nov 2021
27. Financing of Fairtrade Producers Using Blockchain , Innosuisse, CHF 250,539, Team Member, Aug 2020 – Jan 2023
28. 6th European Conference on AI in Industry 2021, Industry, CHF 20,000, PI, Jan 2021 – Sep 2021
29. 5th European Conference on AI in Industry 2020, Industry, CHF 20,000, PI, Jan 2020 – Sep 2020
30. 4th European Conference on AI in Industry 2019, Industry, CHF 20,000, PI, Jan 2019 – Sep 2019
31. 3rd European Conference on AI in Industry 2018, Industry, CHF 20,000, PI, Jan 2018 – Sep 2018
32. 2nd European Conference on AI in Industry 2017, Industry, CHF 20,000, PI, Jan 2017 – Sep 2017
33. 1st European Conference on AI in Industry 2016, Industry, CHF 20,000, PI, Jan 2016 – Sep 2016
34. Digital Real Estate Dossier (DIGIM), Innosuisse, CHF 204,012, Co-PI, Nov 2018 – Apr 2020
35. Swisscom E-Signature Technical Project, Swisscom, CHF 80,000, Co-PI, Jan 2018 – Dec 2019
36. Blockchain and Virtual Currencies, SNSF, CHF 100,000, Co-PI, Jan 2018 – Dec 2018
37. Large Scale Data-Driven Financial Risk Modelling, Innosuisse, CHF 309,000, Team Member, Jan 2017 – Jul 2019
38. Swissnex Research Stay New York, Swissnex, CHF 10,000, PI, July 2018
39. Quantitative Trading Strategies, Industry, CHF 80,000, PI, Apr 2016 – Dec 2017
40. Industrialization of Quantitative Research, Institutional Fund, CHF 10,000, PI, Apr 2015 – Dec 2016
41. Renewable Energies in Future Energy Supply, Innosuisse, CHF 48,000, Team Member, Jul 2013 – Dec 2016
Invited Talks and Presentations
1. Keynote Speaker, Artificial Intelligence in Finance, 4th International Symposium on Big Data and Artificial Intelligence, Hong Kong, December 14–15, 2024
2. Keynote Talk, Artificial Intelligence, AUS - UAE National Conference on Mathematics and its Applications, Sharjah, UAE, May 5, 2024
3. Invited Talk, Share Buy-Back Executions - A multi-billion dollar free lunch, The 3rd Yushan Conference, National Yang Ming Chiao Tung University, Taiwan, December 8, 2023
4. Invited Talk, A Tour Through Quantitative Finance Research in the Era of Machine Learning and Artificial Intelligence, Mathematical Seminar, Worcester Polytechnic Institute, US, March 27, 2022
5. Invited Talk, A Tour Through Quantitative Finance Research in the Era of Machine Learning and Artificial Intelligence, Mathematical Finance Seminar, Columbia University, US, March 27, 2022
6. Award Presenter, COST FinAI Datathon, Award Ceremony, Tirana, Albania, September 22, 2022
7. Co-opening Speaker, COST FinAI Workshop on Diversity, COST FinAI Workshop, Tirana, Albania, September 22, 2022
8. Session Moderator, FinTech: Challenges and Opportunities, COST FinAI Workshop, Tirana, Albania, September 21, 2022
9. Session Chair, Central Bank Digital Currencies, European Alternative Finance Conference, Utrecht, Netherlands, October 6, 2022
10. Speaker, FinTech and AI, University of Twente and ING Group, FinanceCom 2022, Enschede, NL, August 24, 2022
11. Speaker, COST FinAI Management Committee Meeting, COST FinAI Management Committee, August 22, 2022
12. Co-Chair, Digital Disruption in Financial Markets Roundtable, ICESS 2022, June 16–17, 2022
13. Speaker, The European COST Action Fintech and AI in Finance - A History and Definition of Artificial Intelligence, Digital Disruption in Financial Markets Roundtable, ICESS 2022, June 16–17, 2022
14. Speaker, Artificial Intelligence in Finance - Data Challenges and Biases, Putting Science Into Standards Workshop, June 9, 2022
15. Speaker, COST Action Fintech and Artificial Intelligence in Finance - An Introduction, Diversity Challenges and Opportunities in FinTech, May 16–17, 2022
16. Session Chair, Welcome Address, Diversity Challenges and Opportunities in FinTech, May 16–17, 2022
17. Speaker, Machine Learning and AI in Finance – with Applications to Optimal Trading Strategies, Technology, Innovation and Stability: New Directions in Finance, May 5–6, 2022
18. Invited Talk, Generative Adversarial Networks for Finance, Bits and Blocks (Blockchain) Workshop 2021, December 18, 2021
19. Chair, 2nd Annual Management Committee Meeting of the COST Action CA19130 Fintech and Artificial Intelligence in Finance, Bucharest University of Economic Studies, October 28, 2021
20. Invited Speaker, Deep Generation of Financial Data, Annual Research Conference of the COST Action CA19130 Fintech and Artificial Intelligence in Finance, October 28, 2021
21. Invited Speaker, Fintech and Artificial Intelligence in Finance - An Overview, European COST Action Fintech and Artificial Intelligence in Finance, Skopje, North Macedonia, October 15, 2021
22. Invited Speaker, Deep Generation of Financial Data, 6th European COST Conference on Artificial Intelligence in Industry and Finance, September 9, 2021
23. Invited Speaker, COST Action Fintech and Artificial Intelligence in Finance - An Overview, 6th European COST Conference on Artificial Intelligence in Industry and Finance, September 9, 2021
24. Roundtable Participant, Trustworthy AI in Europe: Multiple Perspectives, IEEE Portugal, June 24, 2021
25. Panel Participant, The Impact of AI on Germany's Industry, Artificial Intelligence for Finance - Opportunities and Challenges, EU Tech Chamber, June 8, 2021
26. Speaker, Running a European Research Network on Artificial Intelligence during Corona-times, Swiss AI4Good, May 26, 2021
27. Speaker, Fintech and Artificial Intelligence in Finance, 1st International Conference on Economics and FinTech, April 12, 2021
28. Speaker, Fintech and Artificial Intelligence in Finance - Towards a Transparent Financial Industry, RegTech Workshop: Fintech Risk Management, October 23, 2020
29. Speaker, Training ML Models: Decision Trees and Random Forest, SupTech Training Sessions for the Central Bank of Hungary: Fintech Risk Management, Budapest, Hungary, October 27, 2020
30. Speaker, What is Artificial Intelligence? How is it Transforming the Financial Ecosystem?, SupTech Training Sessions for the Central Bank of Hungary: Fintech Risk Management, October 26, 2020
31. Speaker, Blockchain and Distributed Trust, Winlink Winterthur, Switzerland, October 1, 2020
32. Speaker, Bitcoin and Cryptocurrencies, Third International Conference on Mathematics and Statistics, American University of Sharjah, February 2020
33. Research Stay, Invited Research Stay at the American University of Sharjah, February 2020
34. Invited Talk, Haindorf Seminar, Ladislaus von Bortkiewicz Chair of Statistics, International Training Group "High-Dimensional Non-Stationary Time-Series," January 2019
35. Research Stay, Ladislaus von Bortkiewicz Chair of Statistics, International Training Group "High-Dimensional Non-Stationary Time-Series," November 26–30, 2018
36. Session Chair, 2nd Berlin Conference, Crypto-Currencies in a Digital Economy, Session Chair: "Markets, Bank and Finance," November 29–30, 2018
37. Speaker, Introducing Trust into Blockchain, 2nd Berlin Conference, Crypto-Currencies in a Digital Economy, Nov 29–30, 2018
38. Speaker, Trend-Following Strategies for Currency Markets, 11th Conference on Computational and Financial Econometrics (CFE 2017), University of London, December 16, 2017
39. Speaker, Cryptocurrencies – Not for the Faint-hearted, Crypto-Currencies in a Digital Economy, Einstein Center Digital Future, TU Berlin, November 16, 2017
40. Speaker, Cryptocurrencies and Risk Management, FinTech Innovation Conference, Zurich, March 2017
41. Speaker, A Unified Standard for Modelling Financial Contracts, Fintech Workshop, London, January 2017
42. Keynote Speaker, International Conference on Economics and Finance, Hong Kong, January 2017
43. Speaker, Algorithmic Trading - The Rise of the Machines (for Experts), Swiss Finance Institute Breakfast Seminar, Sept 15, 2016
44. Speaker, Algorithmic Trading, Internal Talk at UBS, 2016
45. Invited Talk, Creating and Combining Alpha Streams from Big Data, Research Symposium London, Ravenpack, Nov 19, 2015
46. Moderator, Alpha Trader Forum (ATF), May 2017
1. Are Companies Being Ripped Off by Big Banks Over Share Buybacks? The Sunday Times. Featured in an article discussing potential overpricing by big banks in share buyback programs, referencing our research. September 2023
2. How Gender Diversity and AI are Changing the Fintech Industry. SocietyBytes Science Magazine., Interviewed about how gender diversity and artificial intelligence are transforming the fintech industry. August 2023
3. If Companies Are Going to Buy Back Shares, They Should Pay a Fair Price by Brooke Masters. Financial Times Weekend Edition. Quoted in an opinion piece highlighting our work on share buybacks and advocating for fair pricing practices. July 2023
4. Governance from the Perspective of Science, Administration, and Industry. Künstliche Intelligenz im Staat., Featured in a discussion on AI in government sectors from multiple viewpoints. February 2022
5. Artificial Intelligence in the Financial Industry. PostFinance Pionierblog. Provided expert insights on the role of AI in finance for PostFinance's’pioneer blog. February 2022
6. Jörg Osterrieder from ZHAW on Fintech, Open Banking, and Blockchain. Netzwoche Magazine. Interview covering topics on fintech developments, open banking, and blockchain technology. November 2021
7. Greater Zurich Boosts AI in Finance. Greater Zurich Area News. Featured in an article about advancements in AI within the finance sector in the Greater Zurich area. October 2021
8. Innosuisse Fairtrade Capital Project, . ZHAW School of Management and Law. Discussed our project connecting producers and consumers via digital tokens and blockchain technology. April 2021
9. Artificial Intelligence Must Not Be a Black Box. Fintech Interview. Emphasized the importance of transparency in AI applications within the fintech industry. September 2020
Habilitation Committee Memberships
January 2023, Ing. Tomáš Plíhal, Ph.D., Department of Finance, Faculty of Economics and Administration, Masaryk University, Committee Member, FX Market Volatility Modelling: Can We Use Low Frequency Data?
Associate Editor Roles
Frontiers in Artificial Intelligence in Finance (since 2020), Frontiers in Financial Risk and Blockchain (since 2020), Frontiers in AI in Finance and Industry (since 2020), Journal of Investment Strategies (since 2022), Digital Finance (since 2020)
Guest Editorships of Research Topics
1. Statistical Modelling for Fintech, Financial Inclusion, and Inequality | Frontiers in AI in Finance | 2024
2. AI in Finance and Industry: 6 European COST Conferences | Frontiers in AI in Finance | 2020
3. AI and Financial Technology | Frontiers in AI in Finance | 2019
4. Cryptocurrencies | Digital Finance | 2018
Reviewer for Academic Journals
Annals of Operations Research (Springer, since 2018), Journal of Banking and Finance (2018), Empirical Economics (Springer, since 2018), European Journal of Finance (since 2019), Frontiers in Artificial Intelligence in Finance (since 2018), Journal of Investment Strategies (since 2020)
Editorships
Editorial Board Member, Journal of Investment Strategies (since 2021), Associate Editor, Digital Finance (Springer, since 2020), Associate Editor, Frontiers in Artificial Intelligence in Finance (since 2021)
Membership in Associations
Swiss Risk Association, Bachelier Finance Society, European Mathematical Society, European Finance Association, American Finance Association
Expert Reviewer for the European Commission
1. Executive Agency for Small and Medium-Sized Enterprises, 2020
2. European Innovation Council Accelerator Pilot Program, 2021
3. European Innovation Council Accelerator Pilot Program, 2022
4. European Innovation Council and SMEs Executive Agency Programme, 2023
Outreach Activities
1. Academia-Government Policy Workshop on AI in Finance, EC, Brussels, Organizer, May 2024
2. Academia-Government Policy Workshop on AI in Finance, COST, Brussels, Organizer, May 2023
3. Research Workshop on Blockchain at the Hungarian Central Bank, Budapest, Hungary, Speaker, April 2021
4. Research Workshop on Artificial Intelligence at the Central Bank, Budapest, Hungary, Speaker, March 2020
5. Research Workshop on Big Data at the Hungarian Central Bank, Budapest, Hungary, Speaker, June 2019
6. Academia-Industry Round-Table Discussion: Big Data Analytics – FinTech , Zurich, CH, Organizer, July 2019
7. Swissnex Mobility Grant, NYC, USA, Recipient, July 2016
Research Conferences – Organization and Scientific Committee member
1. Reinforcement Learning in Finance | Enschede, NL | Chair and Co-Organizer | February 2–7, 2025
2. FinTech and AI in Finance PhD Training School | Enschede, NL | Chair | June 19–23, 2023
3. FinTech and AI in Finance | Helsinki, Finland | Co-Organizer | July 10–11, 2023
4. Women in FinTech and AI (3rd Edition) | Coimbra, Portugal | Co-Organizer | June 1–2, 2023
5. FinTech and AI in Finance Meets Brussels | Brussels, Belgium | Organizer | May 15–16, 2023
6. Innovation Workshop: Networking Event Series on AI | Zurich, CH | Organizer | March 15, 2022
7. Collaboration Workshop on Blockchain and DLT | Zurich, CH | Organizer | May 11, 2022
8. European Alternative Finance Conference | Utrecht, NL | Co-Organizer | Oct 5–7, 2022
9. ML Approaches in Finance and Management | HU Berlin, DE | Co-Organizer | March 24–25, 2022
10. 1st International Conference on Economics and FinTech | Athens, Greece | Co-Organizer | April 12, 2021
11. Annual FinTech and AI in Finance MC Meeting | Bern, CH | Main Organizer | Sept 27–28, 2023
12. Management Committee COST Action CA19130 | Utrecht, NL | Organizer | Oct 5, 2022
13. COST FinAI Management Committee Meeting | Enschede, NL | Organizer | Aug 22, 2022
14. FinTech and AI in Finance Conference | Helsinki, Finland | Main Co-Organizer | July 10–11, 2023
15. Research Conference on FinTech | Coimbra, Portugal | Panel Member | June 1–2, 2023
16. Diversity Challenges for a Sustainable FinTech | Pavia, Italy | Scientific Committee Member | April 13–14, 2023
17. ML, AI, and Data Protection in FinTech Conference | Dublin, Ireland | Scientific Committee Member | July 6–8, 2023
18. 22nd ECMI Conference on Applied Mathematics | Wrocław, Poland | Scientific Committee Member | June 26–30, 2023
19. Technology, Innovation and Stability: New Directions in Finance | Zagreb, Croatia | Committee Member | May 5–6, 2022
20. ECMI 2021 Conference | Wuppertal, Germany | Scientific Committee Member | April 13–15, 2021
21. Annual European Conference on AI in Finance | Bern, CH | Chair and Organizer | 2021–2022
22. Annual European Conference on AI in Finance and Industry | Winterthur, CH | Chair and Organizer | 2015–2021
Current Ph.D. Students
NN, University of Twente, NL, AI and Asset Management, Industry Cooperation with Quoniam Asset Management, 2025 – 2029
Gabin Taibi, University of Twente, NL, Narrative Digital Finance and High-Frequency Trading, 2024 – 2027
Maria Voineag, WU Vienna, AT, Innovation and Regulation in the Digital Age: A Study of Regulatory Sandboxes, Stablecoin Assets, and NFT Lending in the EU, Member of the PhD Committee, since 2023
Lennart Baals, University of Twente, NL, Network-Based Credit Models for P2P Lending, 2022 – 2025
Yiting Liu, University of Twente, NL, Network-Based Credit Models for P2P Lending, 2022 – 2026
Sebastian Singer, WU Vienna, AT, Topics in Asset Management, Ph.D. Committee Member, 2021 – 2027
Dr. Piotr Kotlarz, University of Liechtenstein, Liechtenstein, The EUR/CHF Exchange Rate: Drivers, Forecasting, and Trading Strategies, Daily Supervisor, 2019 – 2023
Dr. Weilong Fu, Columbia University, USA, Innovative Derivative Pricing and Time Series Simulation Techniques via Machine and Deep Learning, Co-Supervisor and Ph.D. Committee Member, 2021 – 2022
Dr. Patchara Santawisook, Worcester Polytechnic Institute (WPI), USA, Price Impact of VIX Futures and Two Order Book Mean-Field Games, Ph.D. Committee Member, 2022
Dr. Branka Hadji Misheva, University of Pavia, Italy, Network-based credit risk models, Daily Supervisor, 2019 – 2022
Dr. Martin Wiegand, University of Manchester, UK, Extreme Value Theory and Distribution Theory, Daily Supervisor, 2017
Ph.D. Examination Committees
1. Dr. Zexuan Yin, UCL, UK, Neural Time Series Forecasting With Latent Dynamics, Ph.D. Examiner, 2024
2. Dr. Rui Li, University of Manchester, UK, Generalizations of the normal distribution, Ph.D. Examiner, 2020
3. Dr. Idika Okorie, University of Manchester, UK, Contributions to Distribution Theory with Applications, Ph.D. Examiner, 2019
4. Dr. M. Weibel, University of Technology Sydney, Fast scenario-based optimal control for stochastic portfolio optimization, Ph.D. Examiner, 2019
Bachelor's Students
1. CBDCs Effects on European Society, Bor Roelofs, Spring 2023
2. Complexity Analysis of Reinforcement Learning Models Applied to Stock Trading, Jason Davis, Hezekiah Owuor, Erich Schwarzrock, Spring 2022
3. Artificial Intelligence for Trading Strategies, Romain Délèze, Danijel Jevtic, Spring 2022
4. Applications of Reinforcement Learning in Finance, Frensi Zejnullahu, Maurice Moser, Spring 2022
5. The Efficient Market Hypothesis for Bitcoin in the Context of Neural Networks, Mike Krähenbühl, Spring 2022
6. A Study of Artificial Intelligence for VIX and VIX Futures, Nikolaj Brux, Spring 2022
7. High-Frequency Causality in the VIX Index and Its Derivatives: Empirical Evidence, Kia Farokhnia, Spring 2022
8. Vorhersagen von Bewegungen am Kryptowährungsmarkt mit Hilfe von Candlestick Charts und künstlich neuronalen Netzen, Philipp Kessler, Spring 2022
9. Machine Learning in Finance Business Model, John Magar, Spring 2022
10. The VIX Index and Its Derivatives, Kia Farokhnia, Fall 2021
11. Generative Adversarial Networks for Financial Time Series, Romain Délèze, Danijel Jevtic, Fall 2021
12. Deep Reinforcement Learning for Finance and the Efficient Market Hypothesis, Leander Odermatt, Jetmir Beqiraj, Spring 2021
13. Risk Parity for Multi-Asset Futures Allocation: A Practical Analysis of the Equal Risk Contribution Portfolio, Chris Bucher, Spring 2021
14. Generative Adversarial Networks in Finance: An Overview, Florian Eckerli, Spring 2021
15. Wasserstein GAN: Deep Generation Applied on Financial Time Series, Moritz Pfenninger, Samuel Rikli, Daniel Nico Bigler, Spring 2021
16. Deep Reinforcement Learning and Trading in Simulated Stock Movements, Leander Odermatt, Jetmir Beqiraj, Fall 2020
17. Deep Reinforcement Learning for Different Macro-Environments, Chris Bucher, Fall 2020
18. Which Asset Classes Are an Effective and Reliable Hedge Against Inflation?, Bozhidar Tsonev, Fall 2022
19. Value Investing & Machine Learning, Serhad Erdogan, Spring 2023
20. Artificial Intelligence for Trading Strategies, Roman Linder, Spring 2023
21. Blockchain and Fraud Detection, Terence Schwab, Spring 2023
22. Bewertung der Effizienzmarkthypothese im Devisenmarkt durch künstliche Intelligenz, Kim Zumstein, Spring 2023
23. Digital Currencies - Risks and Opportunities of CBDCs, Laura Fraga, Spring 2023
24. Digital Currencies - CBDCs, Yannic Rieder, Spring 2023
25. Digital Currencies - Challenges in the Implementation of CBDC, Lorent Shabani, Spring 2023
26. Machine Learning for Trading Strategies, Pieter-Jan Vliegen, Spring 2023
27. Central Bank Digital Currencies, Wouter Wilmer, Spring 2023
28. Machine Learning for Trading Strategies, Ward de Lange, Spring 2023
29. Digital Finance, Noah Koerselman, Spring 2023
30. Anomaly and Fraud Detection in Blockchain Networks, Tudor Nechiti, Spring 2023
31. Missing Data Replacement for ML Credit Risk Predictions, Giovanni Herbert, Spring 2023
32. Artificial Intelligence for Investment Strategies, Anil Dutt Miranda, Spring 2023
33. Predicting the Success of Crowdfunding Campaigns on Kickstarter, Serhii Lysin, Spring 2024
34. AI-Driven Dynamic Pricing Models for Revenue Management of Short-Term Accommodations, Tymur Astashov, Spring 2024
35. The Role of Artificial Intelligence in Behavioral Finance, Emir Esati, Spring 2024
36. Machine Learning for Credit Risk Management, Anton Kalinichenko, Spring 2024
37. Herausforderungen für eine Bank bei der Implementation von Wohneigentum auf Zeit, Andrin Schmid, Spring 2024
Master’s Students
1. Leveraging Uncertainty Information in Deep Learning for Algorithmic Trading, Daniel Sam Attard, MSc Artificial Intelligence, University of Malta, 2023
2. Predicting VIX Futures with Neural Networks, Antonio Rosolia, MSc Engineering, ZHAW, 2020
3. Analyzing Deep Generated Financial Time Series for Various Asset Classes, Antonio Rosolia, MSc Engineering, ZHAW, 2021
4. Technologische Implikationen auf das Kreditgeschäft einer mittelgrossen Kantonalbank – eine Szenarioentwicklung, David Müller, MAS Digital Transformation, ZHAW, 2022
5. Predicting Directional Movements of E-Mini S&P 500 Futures for Intraday Trading, Bella Wu, MS Financial Engineering, Columbia University, 2022
6. Predicting Directional Movements of E-Mini S&P 500 Futures for Intraday Trading, Mina Meng, MS Management Science & Engineering, Columbia University, 2022
7. The Impact of Carbon Emissions on Corporate Financial Performance, Daan Loohuis, MSc Business Administration (Digital Business and Analytics), University of Twente, 2022
8. The Digital Franc - Our Money of the Future, Basil Vollenweider, MSc Business Administration, Bern Business School, 2023
9. Value of Innovation in the Financial Market, Roel Bruins, MSc Business Administration (Digital Business and Analytics), University of Twente, 2023
10. Development of Financial Distress Prediction Model for the Watchlist Classification of Wholesale Banking Clients, Daniel Chen, MSc Industrial Engineering and Management, University of Twente, 2023
11. Robotic Process Automation in the External Audit Function: Defining and Validating an Evaluation Framework, Sander van den Broek, MSc Business Administration, University of Twente, 2024
12. The Macroeconomic Determinants of Small-Cap Stock Performance in the USA, Brian Franch Sabaidini, MSc Business Administration, University of Twente, 2023
13. Temporal Aspects of Stock Price Prediction: Quantifying the Role of Historical Data Using Partitioned Dynamic Bayesian Networks, Cristian Verdecchia, MSc Computer Science, University of Twente, 2023
14. Applications of Early Warning Systems for Customer Segmentation of Wholesale Banking Clients, Alessandra Amato, MSc Business Information Systems, University of Twente, 2023
15. Commodity Price Co-Movement: Comparing Models and Correlation Measures, Luca Kozian, MSc Business Administration, University of Twente, 2023
16. Stakeholder-Centric Approach to Applying Machine Learning to Probability of Default Models, Dyon Kok, MSc Industrial Engineering and Management, University of Twente, 2024
17. Generative Adversarial Networks and Quasi-Monte Carlo Simulation for Option Pricing, Siem Peters, MSc Industrial Engineering and Management, University of Twente, 2024
18. Enhancing Credit Risk Prediction in Retail Banking: Integrating Time Series and Classical ML Algorithms, Sebastian Goldmann, MSc Industrial Engineering and Management, University of Twente, 2024
19. Integration of Explainable AI in Fraud Detection for Enhanced Transparency in Banking, Stijn van der Pol, MSc Industrial Engineering and Management, University of Twente, 2024
20. The Digital Franc - Our Money of the Future, Yann Lüthi, MSc Business Information Systems, Bern Business School, 2024
Executive Education
1. Analysis of LendingClub Big Data Sets with the Help of Visualizations, Andre Camenzind, 2021
2. Data-Based Project Insights, Frank Peisert, 2021
3. K-Means Clustering, Christian Meier, 2020
4. Credit Card Limit Management - Machine Learning for Real-Time Default Prediction, Lukas Ruppen, 2020
5. An Interactive Shiny Application for Trading Systems for the Structured Products Business, Thomas Aebi, 2019
6. Analytic Platform for Vontobel Electronic Trading Solutions, Fabienne Rehnelt, 2019
Professional Development Trainings
1. Media Skills Training, COST Academy, Training for COST Action Chairs to enhance media engagement skills, March 2023
2. Sustainability of COST Actions, COST Academy, Focused on ensuring long-term impact and sustainability of COST Actions. February 2023
3. How to Manage and Coordinate International Research Networks, COST Academy, Training on effective management of international research collaborations. March 30–31, 2022
4. Presenting with Impact, University of Twente, Presentation skills training to improve public speaking abilities. October–December 2021
5. Science Diplomacy in Practice Every Day! COST Academy, Training on integrating science diplomacy into daily research practice. September–October 2021
6. How to Pitch Your Research (Elevator Pitch), COST Academy, Techniques for effectively communicating research ideas succinctly. May 18 & 25, 2021
7. How to Engage with European Union Policymakers, COST Academy, Strategies for engaging with EU policymakers and influencing policy decisions. April 27, 2021
Teaching and Leadership Qualifications
1. University Teaching Qualification (UTQ) (exempt), University of Twente, NL, 2022
2. Certificate in Advanced Studies: University Teaching Certificate, Zurich Universities of Teacher Education, CH, 2018
3. Leadership in Academia, ZHAW, CH, 2018
Academic Scholarships
1. Elected Fellow of IETI, 2024
2. IETI Researcher Award 2024
3. Named Top 20 2024 European Quant & Finance Professors by Rebellion Research
4. Virtual Mobility Grant, COST Action Fintech and AI in Finance, for a research application for a COST Innovator Grant, 2024
5. Virtual Mobility Grant, COST Action Fintech and AI in Finance, for the paper Mitigating Digital Asset Risks, 2023
6. Grant for organizing an international PhD doctoral training school, COST Action Fintech and AI in Finance, 2024
7. Grant for organizing an international PhD doctoral training school, COST Action Fintech and AI in Finance, 2023
8. Grant for organizing an international conference on AI in Finance, COST Action Fintech and AI in Finance, 2023
9. Best paper award Journal of Risk and Financial Management, GARCH Modelling of Cryptocurrencies, 2019
10. Best paper award for the article "Statistics of Bitcoin and Cryptocurrencies", International Conference on Economics, Finance and Statistics, Hong Kong, January 2017
11. Finalist Teaching Award Zurich University of Applied Sciences 2016 (top 10)
12. Travel fellowships for research stays (COST Short-term scientific missions): Dr. Alla Petukhina, Humboldt University of Berlin (February 2019), Elizaveta Zinovyev, Humboldt University of Berlin (February 2019), Dr. Daniel Kucharczyk, Wroclav University Poland (2018 and 2019), Dr. Stephen Chan, University of Manchester (April 2017), Dr. Saralees Nadarajah, University of Manchester (April 2017)
13. Swissnex Scholarship for Research Stay in NYC, US, 2018
14. Doctoral fellowship at ETH Zurich by the SNSF and Credit Suisse, 2003 – 2007
15. Doctoral fellowship at the University of Zürich by the SNSF (via NCCR Finrisk), 2002
16. Scholarship of the European Science Foundation for a research stay at the London School of Economics, 2006
17. Merit based scholarship by the German Academic Merit Foundation for doctoral studies (awarded to the best 0.25% of all German doctoral students, 2003 - 2007)
18. Organisation of a workshop on Mathematical Finance for young researchers, 2006, ETH Zurich and the German Academic Merit Foundation
19. Merit-based scholarship by the German Academic Merit Foundation for diploma studies (awarded to the best 0.25% of all German students, 2000 – 2002)
20. Syracuse University Merit-based scholarship for the Master's degree, 2000-2002
21. Merit-based scholarship by the US National Science Foundation, summer 2001
Professional Honors and Appointments
1. Steering Committee Member, Luxembourg National Research Fund, Overseeing the development and implementation of the NCER line 'Financial Technologies'. NCER provides a framework to bundle research excellence around societal-relevant missions, promoting transdisciplinary research and intersectoral collaboration. The NCER-FT offers thought leadership, scientific insights, and practical training in financial technologies. Since June 2024.
2. International Advanced Fellow Babeș-Bolyai University (UBB), Engaging in research on anomaly and fraud detection in blockchain networks, narrative digital finance, and artificial intelligence in finance. Since Jan 2024.
3. Visiting Research Professor, American University of Sharjah, UAE, Conducting research on AI in Finance, including projects on blockchain fraud detection and narrative digital finance. Collaboration with the Department of Mathematics and Statistics, focusing on artificial intelligence in finance. Since Jan 2022.
4. Swissnex Grant, Swissnex, Recipient of Swissnex Mobility Grant, 2020