Joerg Osterrieder

Summary

Joerg Osterrieder is Professor of Finance and Risk Modelling at the ZHAW School of Engineering (Switzerland). He has been working in the area of financial statistics, quantitative finance, algorithmic trading, and digitisation of the finance industry for more than 15 years. Joerg is the Action Chair of the European COST Action 19130 Fintech and Artificial Intelligence in Finance, an interdisciplinary research network combining 200+ researchers and 38 European countries as well as five international partner countries. He is the director of studies for an executive education course on "Big Data Analytics, Blockchain and Distributed Ledger", co-director of studies for "Machine Learning and Deep Learning in Finance" and has been the main organizer of an annual research conference series on Artificial Intelligence in Industry and Finance since 2016. He is a founding associate editor of Digital Finance, an editor of Frontiers Artificial Intelligence in Finance and frequent reviewer for academic journals. In addition, he serves as an expert reviewer for the European Commission on the "Executive Agency for Small & Medium-sized Enterprises" and the "European Innovation Council Accelerator Pilot" programmes. Previously he worked as an executive director at Goldman Sachs and Merrill Lynch, as quantitative analyst at AHL as well as a member of the senior management at Credit Suisse Group. Joerg is now also active at the intersection of academia and industry, focusing on the transfer of research results to the financial services sector in order to implement practical solutions.

Academic Appointments

• 2017 – Zurich University of Applied Sciences, Switzerland

Professor of Finance and Risk Management

• 2015 – 2017 Zurich University of Applied Sciences, Switzerland

Senior Lecturer in Quantitative Finance

Recent Publications

• Google Scholar
• Arxiv Author
• OrcID: 0000-0003-0189-8636
• May 2021: The Applicability of Self-Play Algorithms to Trading and Forecasting Financial Markets, Jan-Alexander Posth, Piotr Kamil Kotlarz, Branka Hadji-Misheva, Joerg Osterrieder, Peter Schwendner, 31 May 2021, Frontiers Artificial Intelligence - Artificial Intelligence in Finance, https://doi.org/10.3389/frai.2021.668465
• Hirsa, A., Osterrieder, J., Misheva, B.H., Cao, W., Fu, Y., Sun, H., & Wong, K.W. (2021). The VIX index under scrutiny of machine learning techniques and neural networks. arxiv
• Hirsa, Ali and Hadji Misheva, Branka and Osterrieder, Joerg and Posth, Jan-Alexander, Deep reinforcement learning on a multi-asset environment for trading (June 15, 2021). Available at SSRN: https://ssrn.com/abstract=3867800

Publications and Preprints

[1] S. Chan, J. Chu, S. Nadarajah, and J. Osterrieder. A statistical analysis of cryptocurrencies. Journal of Risk and Financial Management, 10(2):12, 2017.

[2] J. Choudary and J. Osterrieder. Machine learning tools for probability of default and rating downgrades of corporate and government bonds. Available at SSRN 3461558, 2019.

[3] J. Chu, S. Chan, S. Nadarajah, and J. Osterrieder. Garch modelling of cryptocurrencies. Journal of Risk and Financial Management, 10(4):17, 2017.

[4] F. Eckerli. Generative adversarial networks in finance: an overview. Available at SSRN 3864965, 2021.

[5] S. Fritzmann, D. Jaggi, and J. Osterrieder. A statistical analysis of carry trading. Available at SSRN 2993902, 2017.

[6] A. Gabler, D. Perez, U. Sutter, D. Kucharczyk, J. Osterrieder, and M. Reit-enbach. Pattern learning via artificial neural networks for financial market predictions. Available at SSRN 3243479, 2018.

[7] A. Gabler, M. Wiegand, and J. Osterrieder. Pricing, loss and sensitivity analysis of barrier options via regression. Available at SSRN 3194111, 2018.

[8] P. Giudici, R. Hochreiter, J. Osterrieder, J. Papenbrock, and P. Schwendner. AI and financial technology. Frontiers in Artificial Intelligence, 2:25, 2019.

[9] B. Hadji Misheva, A. Hirsa, J. Osterrieder, O. Kulkarni, and S. Fung Lin. Explainable AI in credit risk management. Credit Risk Management (March 1, 2021), 2021

[10] A. Hirsa, B. Hadji Misheva, J. Osterrieder, W. Cao, Y. Fu, H. Sun, and K. W. Wong. The vix index under scrutiny of machine learning techniques and neural networks. Available at SSRN 3796351, 2021.

[11] A. Hirsa, J. Osterrieder, B. Hadji-Misheva, and J.-A. Posth. Deep reinforcement learning on a multi-asset environment for trading. arXiv preprint arXiv:2106.08437, 2021.

[12] J. Osterrieder and J. Lorenz. A statistical risk assessment of bitcoin and its extreme tail behavior. Annals of Financial Economics, 2017.

[13] D. Kucharczyk, J. Osterrieder, S. Rudolf, and D. Wittwer. Neural networks and arbitrage in the vix–a deep learning approach for the vix. Available at SSRN 3305686, 2018.

[14] J. Lorenz and J. Osterrieder. Simulation of a limit order driven market.

[15] The Journal Of Trading, 4(1):23–30, 2008.

[16] B. H. Misheva, J. Osterrieder, A. Hirsa, O. Kulkarni, and S. F. Lin. Explainable ai in credit risk management. arXiv preprint arXiv:2103.00949, 2021.

[17] L. Odermatt, J. Beqiraj, and J. Osterrieder. Deep reinforcement learning for finance and the efficient market hypothesis. Available at SSRN 3865019, 2021.

[18] J. Osterrieder. A dynamic market microstructure model with insider information and order book. Available at SSRN 676028, 2005.

[19] J. Osterrieder. A theoretical model of the limit order book and some applications. Available at SSRN 881274, 2006.

[20] J. Osterrieder. The statistics of bitcoin and cryptocurrencies. Available at SSRN 2872158, 2016.

[21] J. Osterrieder. The statistics of bitcoin and cryptocurrencies. In 2017 International Conference on Economics, Finance and Statistics (ICEFS 2017), Hong Kong, 14-15 January 2017. Atlantis Press, 2017.

[22] J. Osterrieder and A. Barletta. Editorial on the special issue on cryptocurrencies, 2019.

[23] J. Osterrieder and A. Barletta. Special issue on cryptocurrencies. 2020.

[24] J. Osterrieder, D. Kucharczyk, S. Rudolf, and D. Wittwer. Neural networks and arbitrage in the vix. Digital Finance, 2(1):97–115, 2020.

[25] J. Osterrieder and J. Lorenz. A statistical risk assessment of bitcoin and its extreme tail behavior. Annals of Financial Economics, 12(01):1750003, 2017.

[26] J. Osterrieder, M. Strika, and J. Lorenz. Bitcoin and cryptocurrencies—not for the faint-hearted. International Finance and Banking, 4(1):56, 2017.

[27] J. Osterrieder, L. Vetter, and K. Röschli. The vix volatility index-a very thorough look at it. Available at SSRN 3311727, 2019.

[28] J. R. Osterrieder et al. Arbitrage, the limit order book and market microstructure aspects in financial market models. PhD thesis, Diss., Eidgenössische Technische Hochschule ETH Zürich, Nr. 17121, 2007, 2007.

[29] J. R. Osterrieder and T. Rheinländer. Arbitrage opportunities in diverse markets via a non-equivalent measure change. Annals of Finance, 2(3):287– 301, 2006.

[30] M. Pfenninger. Generative adversarial network for synthetic data on bitcoin returns. Available at SSRN 3864867, 2021.

[31] J.-A. Posth, P. Kotlarz, B. H. Misheva, J. Osterrieder, and P. Schwendner. The applicability of self-play algorithms to trading and forecasting financial markets. Frontiers in Artificial Intelligence, 4:57, 2021.

[32] J. Rohrbach, S. Suremann, and J. Osterrieder. Momentum and trend following trading strategies for currencies revisited-combining academia and industry. Available at SSRN 2949379, 2017.

[33] R. Samuel, B. D. Nico, P. Moritz, and J. Osterrieder. Wasserstein GAN: Deep generation applied on bitcoins financial time series. arXiv preprint arXiv:

Media

• October 2021, Greater Zurich boosts AI in Finance
• April 2021: Article on our Innosuisse Fairtrade Capital together with the School of Management and Law, ZHAW; Trying to bring producers and end-consumers together via digital tokens and the blockchain
• November 2021: Jörg Osterrieder von der ZHAW über Fintech, Openbanking und Blockchain
• September 2020, Fintech interview: “Artificial intelligence must not be a black box”

Conferences

• Member of the Programme Committee of Technology, Innovation and Stability: New Directions in Finance (TINFIN) Conference (5-6 May 2022, Zagreb and online).
• Networking Event Series Artificial Intelligence
• Meetup Fintech and Artificial Intelligence in Finance

• Flagship Conferences AI in Industry and Finance
  • 6th European Conference on Artificial Intelligence in Industry and Finance, Sept 9, 2021
  • 7th European Conference on Artificial Intelligence in Industry and Finance, Sept 8, 2022
  • 8th European Conference on Artificial Intelligence in Industry and Finance, Sept 7, 2023
  • 9th European Conference on Artificial Intelligence in Industry and Finance, Sept 5, 2024

• Innovation Workshops
  • Networking Event Series Artificial Intelligence – Innovation Workshop 2022, March 15, 2022
  • Networking Event Series Artificial Intelligence – Innovation Workshop 2023, March 15, 2023
  • Networking Event Series Artificial Intelligence – Innovation Workshop 2024, March 13, 2024

• Collaboration Workshops
  • Networking Event Series AI – Collaboration Workshop 2022 on Blockchain and DLT, May 11, 2022
  • Networking Event Series AI – Collaboration Workshop 2023 on Data in Industry, May 11, 2023
  • Networking Event Series AI – Collaboration Workshop 2024 on AI in Credit Risk, May 10, 2024

Seminars and Talks (co-) organized

For a recent overview, see Meetup Fintech AI in Finance

• September 9, 2021: Main organizer of the 6th European COST Conference on Artificial Intelligence in Industry and Finance
• 19th June 2020 Momentum and contrarian effects on the cryptocurrency market - an interactive shiny application I Prof. Pawel Sakowski, University of Warsaw
• 1st July 2020 Explainability of a Machine Learning Granting Scoring Model in Peer-to-Peer Lending I Prof. Javier Arroyo, UCM
• 30th September 2020 Blockchain for finance: Bond issuance and asset trading I Dr. Veni Arakelian, Senior Manager Piraeus Bank
• 29th October 2020 Investing with Cryptocurrencies - On the Informative Effects of Experts Sentiment I Dr. Simon Trimborn, City University of Hong Kong
• 11th November 2020 Central Bank Digital Currencies I Henry Holden, Advisor – Bank for International Settlements - Innovation HUB
• 3rd December 2020 Portfolio Compression in Financial Networks: Incentives and Systemic Risk I Dr. Steffen Schuldenzucker, Goethe University Frankfurt
• 08 January 2021 Blockchain Technology and Financial Regulation: A Risk-Based Approach to the Regulation of Initial Coin Offerings (ICOs) I Alexis Collomb & Primavera de Filippi, CNAM
• 12 March 2021 Blockchain Technology as a Regulatory Technology: From Code is Law to Law is Code I Samer Hassan, Universidad Complutense de Madrid
• 9 April 2021 FinTech, RegTech, and the Reconceptualization of Financial Regulation I Douglas W. Arner and Ross P. Buckley, University of Hong Kong and University of New South Wales
• 17 May 2021 Machine Learning Inference I Andreas Joseph, Bank of England

• 01.07.2020 Research Seminar: Explainability of a Machine Learning Model in Peer-to-Peer Lending
• 09.07.2020 Research Seminar: Transparency in Fintech
• 30.09.2020 Research Seminar: Blockchain for finance: Bond issuance and asset trading
• 26.10.2020 Workshop for the Central Bank of Hungary: Fintech Risk Management - Day 1
• 27.10.2020 Workshop for the Central Bank of Hungary: Fintech Risk Management - Day 2
• 29.10.2020 Research Seminar: Investing with Cryptocurrencies: On the Informative Effects of Experts Sentiment
• 11.11.2020 Research Seminar: Central Bank Digital Currencies
• 03.12.2020 Research Seminar: Portfolio Compression in Financial Networks: Incentives and Systemic Risk
• 08.01.2021 Research Seminar: A Risk-Based Approach to the Regulation of Initial Coin Offerings
• 22.02.2021 Research Seminar: Digital Asset Banking: Innovation in a Highly Regulated Market
• 25.03.2021 2nd European Research Conference: Blockchain in Finance
• 14.04.2021 Research Seminar: Central Banks on the Blockchain: Risk and Opportunity of CB Digital Currencies
• 10.05.2021 Research Seminar: Blockchain as a Regulatory Technology: From Code is Law to Law is Code
• 12.05.2021 CONFEDERATING THE SWISS CRYPTO MARKET: Blockchain Regulation Conference - Day 1
• 13.05.2021 CONFEDERATING THE SWISS CRYPTO MARKET: Blockchain Regulation Conference - Day 2
• 17.05.2021 Research Seminar: Machine Learning Inference
• 09.09.2021 6th European COST Conference on Artificial Intelligence in Industry and Finance
• June 2020 COST Fintech and AI in Finance Core Group Meeting
• July 2020 COST Fintech and AI in Finance Core Group Meeting
• Sep 20 COST Fintech and AI in Finance Core Group Meeting
• October 2020 COST Fintech and AI in Finance Core Group Meeting
• November 20 COST Fintech and AI in Finance Core Group Meeting
• December 2020 COST Fintech and AI in Finance Core Group Meeting
• January 2021 COST Fintech and AI in Finance Core Group Meeting
• February 2021 COST Fintech and AI in Finance Core Group Meeting
• March 2021 COST Fintech and AI in Finance Core Group Meeting
• Apr 21 COST Fintech and AI in Finance Core Group Meeting
• Mai 21 COST Fintech and AI in Finance Core Group Meeting
• Sep 20 1st COST Fintech and AI in Finance Management Committee Meeting
• December 2020 2nd COST Fintech and AI in Finance Management Committee Meeting
• January 2021 3rd COST Fintech and AI in Finance Management Committee Meeting
• Apr 21 4th COST Fintech and AI in Finance Management Committee Meeting

Services to the Academic Community

• Book Series Editor "Financial Innovation and Technology" (Springer) (since November 2020, joint with Prof. Ali Hirsa, Columbia University)
• Editor Frontier Topics in AI in Finance "Financial Risk and Blockchain" (since November 2020)
• Editor Frontier Topics in AI in Finance and Industry (since November 2020)
• Reviewer for the Journal of Investment Strategies (since November 2020)

PhD students

• Fernando de Meer Pardo, Reinforcement Learning and Generative Adversarial Networks, March 2021 to February 2025, joint with Worcester Polytechnic University (WPI), US, Prof. Dr. Stephan Sturm
• Patchara Santawisook, April 2021, member of the PhD Committee, main supervisor: Prof. Dr. Stephan Sturm, Worcester Polytechnic University (WPI), US
• Sebastian Singer, 2021 - 2025, member of the PhD Committee, main supervisor: Prof. Dr. Ronald Hochreiter, WU Vienna, Austria

Scientific Committees

• ECMI 2021 Conference, European Consortium for Mathematics in Industry, April 13-15, 2021, Wupperthal, Germany
• European Conference on Artificial Intelligence in Industry and Finance, September 2021, Winterthur, Switzerland (main organizer)
• European Conference on Artificial Intelligence in Industry and Finance, September 2020, Winterthur, Switzerland (main organizer)
• European Conference on Artificial Intelligence in Industry and Finance, September 2019, Winterthur, Switzerland (main organizer)
• European Conference on Artificial Intelligence in Industry and Finance, September 2018, Winterthur, Switzerland (main organizer)
• European Conference on Artificial Intelligence in Industry and Finance, September 2017, Winterthur, Switzerland (main organizer)

Talks

• February 14 -17, 2022: Invited Keynote Speech, Bank for International Settlements, Irving Fisher Committee on Central Bank Statistisk, IFC workshop on "Data science in central banking: Applications and Tools, Fintech and Artificial Intelligence in Finance - An Overview

• Oct 28, 2021: Leading the 2nd Annual Management Committee Meeting of the COST Action CA19130 Fintech and Artificial Intelligence in Finance, Bucharest University of Economic Studies; Local Organizers: Prof. Vasile Strat, Dean of the Bucharest Business School; Prof. Daniel Pele

• Oct 28, 2021: Annual research conference of the COST Action CA19130 Fintech and Artificial Intelligence in Finance, Bucharest University of Economic Studies; Invited Speaker, Deep Generation of Financial Data

• Oct 15, 2021: European COST (Cooperation in Science and Technology) Action Fintech and Artificial Intelligence in Finance, Skopje, North Macedonia, Fintech and Artificial Intelligence in Finance - An Overview

• Sept 30, 2021: Digital Finance Journal (DFIN) online paper discussion, "Programmable Money: Next-Generation Blockchain-Based Conditional Payments" by Prof. Ingo Weber from the Technical University of Berlin and Prof. Mark Staples from CSIRO's Data61

• Sept 17, 2021: 7th annual Columbia-Bloomberg Machine Learning in Finance conference, Columbia University in the City of New York, Bloomberg and Columbia University, Generative Adversarial Networks and its Applications in Finance, joint work with Ali Hirsa, Columbia University

• Sept 13-17, 2021: Generative Adversarial Networks and some applications in Finance, Advances in Stochastic Analysis for Handling Risks in Finance and Insurance at the CIRM in Luminy (near Marseille), Invited Speaker, Centre International de Rencontres Mathématiques, CIRM Conference

• Sept 9, 2021: 6th European COST Conference on Artificial Intelligence in Industry and Finance, Invited Speaker, Deep Generation of Financial Data

• Sept 9, 2021: 6th European COST Conference on Artificial Intelligence in Industry and Finance, Invited Speaker, COST (European Cooperation in Science and Technology) Action Fintech and Artificial Intelligence in Finance - An overview

• Trustworthy AI in Europe: multiple perspectives, June 24, 2021, IEEE Portugal, Round table on multiple perspectives of the use of Artificial Intelligence in Europe (event, talk)

• The Impact of AI on Germany's Industry, June 8, 2021, Artificial intelligence for Finance - opportunities and challenges, Invited panel participant, EU Tech Chamber

• Swiss AI4Good – Building a Nexus between Research, Innovation & Society, May 26, 2021, European COST Action Fintech and Artificial Intelligence in Finance, Running a European research network on Artificial Intelligence during Corona-times, online.
• Fintech and Artificial Intelligence in Finance, 1st International Conference on Economics and FinTech, Athens, Greece, April 12, 2021, organized within the framework of the EU H2020 project Fintech no. 825215 (topic ICT-35-2018, Type of action: CSA) and the COST Action Fintech and AI in Finance (Action Chair: Joerg Osterrieder)

• Fintech and Artificial Intelligence in Finance - Towards a transparent financial industry, 23.10.2020, RegTech Workshop: Fintech Risk Management
• Training ML Models: Decision Trees and Random Forest, 27.10.2020, SupTech Training Sessions for the Central Bank of Hungary: Fintech risk management
• What is Artificial Intelligence? How is it transforming the financial ecosystem? 26.10.2020, SupTech Training Sessions for the Central Bank of Hungary: Fintech risk management

• Blockchain and Distributed Trust, October 1, 2020, Winlink Winterthur, Switzerland
• Bitcoin and Cryptocurrencies, Third International Conference on Mathematics and Statistics, American University of Sharjah, Feb. 2020
• Invited Research Stay at the American University of Sharjah (Feb. 2020)
• Invited Talk at the Haindorf Seminar, Ladislaus von Bortkiewicz Chair of Statistics, International Training Group “High-Dimensional Non-Stationary Time-Series” (Jan. 2019)
• Research stay at the Ladislaus von Bortkiewicz Chair of Statistics, International Training Group “High-Dimensional Non-Stationary Time-Series”, Nov. 26 - 30, 2018
• 2nd Berlin Conference, Crypto-Currencies in a Digital Economy, Nov. 29/30, Berlin, Session Chair “Markets, Bank and Finance”, https://www.ccconf.org
• 2nd Berlin Conference, Crypto-Currencies in a Digital Economy, Nov. 29/30, Berlin, “Introducing Trust into Blockchain”, https://www.ccconf.org
• 11th Conference on Computational and Financial Econometrics (CFE 2017), University of London, Dec. 16, 2017, “Trend-following strategies for currency markets”
• Crypto-Currencies in a Digital Economy, Einstein Center Digital Future, TU Berlin, Nov. 16, 2017, “Cryptocurrencies – Not for the faint-hearted”
• FinTech Innovation Conference, Zurich, Mar. 2017, “Cryptocurrencies and risk management”
• Fintech Workshop, London, Jan. 2017, “A unified standard for modelling financial contracts”
• Keynote Speaker International Conference on Economics and Finance, Hong Kong, Jan. 2017
• Algorithmic Trading - The Rise of the Machines (for Experts), Thursday, Sept. 15, 2016, Swiss Finance Institute Breakfast Seminar with Dr. Jörg Osterrieder
• Algorithmic Trading, internal talk at UBS, 2016
• Invited talk at the Conference: “Creating and Combining Alpha Streams from Big Data”, Research Symposium London, Nov. 19, 2015, Ravenpack
• Moderation of the Conference “Alpha Trader Forum (ATF)”, May 2017, participants were heads of trading from Germany, Switzerland, Austria, dach.buysideintel.com

Teaching

Executive Education

• Blockchain, Big Data and Distributed Ledger, Certificate of Advanced Studies (CAS), individual modules, Fall 2018, Spring and Fall 2019, 2020, 2021
• Machine Learning and Deep Learning in Finance, Continuing Education, individual modules, Fall 2021
• MAS / DAS / CAS Sustainable Finance, Focus on Artificial Intelligence, University of Zurich, Fall 2021

Courses

• Reinforcement Learning in Finance, Spring 2022
• Empirical Methods in Finance, Fall 2022
• Topics of Financial Engineering, Spring 2021, 2020, 2019, 2018, 2017, 2016
• Quantitative Risk Management, Spring 2021, 2017, 2016, 2015
• Mathematics of Financial Markets I, Spring 2015, 2016
• Mathematics of Financial Markets II, Fall 2015, 2016
• Introduction to interest rate theory, Spring 2018, 2019
• Machine Learning and Deep Learning in Finance (executive education course), bi-annual since 2016

Supervision of researchers at graduate and postgraduate level

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BSc

• Chris, Bucher, Deep Reinforcement Learning for different macro-environments, BSc, Fall 2020
• Leander, Odermatt, Jetmir, Beqiraj, Deep Reinforcement Learning and trading in simulated stock movements, BSc, Fall 2020
• Leander, Odermatt, Jetmir, Beqiraj, Deep Reinforcement Learning for Finance and the Efficient Market Hypothesis, BSc, Spring 2021
• Chris, Bucher, Risk Parity for Multi-Asset Futures Allocation - A Practical Analysis of the Equal Risk Contribution Portfolio, BSc, Spring 2021
• Florian, Eckerli, Generative Adversarial Networks in finance: an overview, BSc , Spring 2021
• Moritz, Pfenninger, Samuel, Rikli, Bigler, Daniel Nico, Wasserstein GAN: Deep Generation applied on financial time series, BSc, Spring 2021

MSc

• Antonio, Rosolia, Predicting VIX Futures with Neural Networks, MSE, Fall 2020, ZHAW
• Antonio, Rosolia, Analyzing deep generated financial time series for various asset classes, MSE, Spring 2021, ZHAW
• David, Müller, Technologische Implikationen auf das Kreditgeschäft einer mittelgrossen Kantonalbank – eine Szenarioentwicklung, MAS Digital Transformation, Q4 2021 / Q1 2022, ZHAW

Executive Education

• CAS Big Data Analytics, Blockchain and Distributed Ledger, September 2021, Thomas Aebi (ZKB), An interactive Shiny application for trading systems for the structured products business, co-supervisor
• CAS Big Data Analytics, Blockchain and Distributed Ledger, September 2021, Fabienne Rehnelt (Vontobel ), Analytic Platform for Vontobel Electronic Trading Solutions, main supervisor

PhD

• Fernando de Meer Pardo, Reinforcement Learning and Generative Adversarial Networks, March 2021 to February 2025, joint with Worcester Polytechnic University (WPI), US, Prof. Dr. Stephan Sturm
• Patchara Santawisook, April 27,2021, "Price Impact of VIX Futures and Two Order Book Mean-Field Games", member of the PhD Committee, main supervisor: Prof. Dr. Stephan Sturm, Worcester Polytechnic University (WPI), US. Dissertation Committee:

Dr. Stephan Sturm, WPI (Advisor), Dr. Marcel Y. Blais, WPI, Dr. Jörg Osterrieder, Zurich University of Applied Sciences, Dr. Andrew Papanicolaou, North Carolina State University, Dr. Qingshuo Song, WPI Dr. Frank Zou, WPI

• Sebastian Singer, 2021 - 2025, member of the PhD Committee, main supervisor: Prof. Dr. Ronald Hochreiter, WU Vienna, Austria
• Dr. Rui Li, 2020, PhD examiner, main supervisor: Saralees Nadarajah, University of Manchester, UK
• Dr. Idika Okorie, 2019, PhD examiner, main supervisor: Saralees Nadarajah, University of Manchester, UK
• Dr. M. Weibel, 2019, PhD examiner, main supervisor: Juri Hinz, University of Technology, Sydney, Australia

Other graduate and post-graduate students

• Florian Bozdharaj, 2019 - 2021
• Florian Hinz, 2020
• Dr. Branka Hadji Misheva, PhD at University of Pavia, 2020
• Piotr Kotlarz, PhD at University of Liechtenstein, since 2018
• Matas Pocevicius, Finance industry, 2017 – 2018
• Dr. Martin Wiegand, PhD at University of Manchester, 2018
• Dr. Daniel Kucharczyk, Finance industry, 2017- 2019

Research projects

Third-party research funding from EU H2020, SNSF, Innosuise and the Finance industry, see here for more details.

• Strengthening Swiss Financial SMEs through Applicable Reinforcement Learning / Deputy project leader / Project ongoing
• COST Action Fintech and Artificial Intelligence in Finance - Grant Holder / Project leader / Project ongoing
• Towards Explainable Artificial Intelligence and Machine Learning in Credit Risk Management / Project co-leader / Project ongoing
• Decentralized financing of Fairtrade producers using a blockchain-based solution / Deputy project leader / Project ongoing
• Advanced/AI-supported Rating Models for P2P systems / Project co-leader / Project ongoing
• Currency hedging for SMEs and pension funds / Project leader / Project ongoing
• 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. / Project leader / Project completed
• Digitalisation non-bankable assets (specifically: art) / Deputy project leader / Project completed
• Deep Learning & Neuronal Networks: Selbstständige KI-Agenten zur Entwicklung von neuartigen Handelsstrategien im Asset Management auf Basis von Self-Play / Deputy project leader / Project completed
• Assessment of derivatives-based hedging solutions / Project co-leader / Project completed
• Blockchain-based model to enhance the financing of fairtrade producers / Team member / Project completed
• 4th Conference Finance and Industry 2019 / Project leader / Project completed
• European Workshops in Finance / Project leader / Project completed
• FIN-TECH – Financial Supervision and Technology Compliance Training Programme / Project leader / Project completed
• Big Data Analytics Research / Project leader / Project completed
• Digitales Immobilien Dossier (DIGIM) / Project co-leader / Project completed
• Swisscom E-Signatur TP Technik / Project leader / Project completed
• 3rd European COST Conference on Mathematics for Industry in Switzerland / Project leader / Project completed
• Blockchain and Virtual Currencies / Project leader / Project completed
• Large Scale Data-Driven Financial Risk Modelling / Team member / Project completed
• 2nd European COST Conference on Mathematics for Industry in Switzerland / Project leader / Project completed
• Mathematics and Fintech: The next revolution in the digital transformation of the finance industry / Project leader / Project completed
• Vernetztes Denken als Erfolgsfaktor für ein ganzheitliches Verständnis von globalen Finanzmärkten / Project leader / Project completed
• Swissnex Research Stay New York / Project leader / Project completed
• 1st European COST Conference on Mathematics for Industry in Switzerland / Project leader / Project completed
• Quantitative trading strategies / Project leader / Project completed
• Long historical data for futures / Project leader / Project completed
• Automation and industrialization of quantitative research / Project leader / Project completed
• RENERG2 - RENewable enERGies in future energy supply / Team member / Project completed

Research grants under evaluation

Swiss Naional Science Foundation (SNSF)

• June 2021: SNF COST, Frontiers of Reinforcement Learning for Finance with a particular focus on informational and multi-agent aspects, Principal Investigator
• Mai 2021: SNF Era-Net (EU H2020), Network-based credit risk models in P2P lending markets, Co-Principal Investigator
• April 2021: SNSF Lead Agency with Czech Republic, Switzerland (B. Hadji Misheva, E. Baumohl, Š. Lyócsa, O. Deev, T. Plíhal, J. Osterrieder, A. Posth, C. Schmidhuber, P. Schwendner), "Network-based credit risk models in P2P lending markets", Co-Principal Investigator

Trainings and other extracurricular activities

• COST Academy: Science Diplomacy in practice every day! September 21 and October 21, Training for COST Action Chairs
• COST Academy: How to pitch your research (elevator pitch) - May 18 and May 25, 2021, Training for COST Action Chairs
• COST Academy: How to engage with European Union Policymakers - April 27, 2021, Training for COST Action Chairs
• Certificate in Advanced Studies: University Teaching certificate, ZHPH, Switzerland, 2018
• Leadership in Academia, University training, ZHAW, Switzerland, 2018

Other academic activities

Reviewer of academic papers

• Frequent reviewer for academic journals, such as Annals of Operations Research (Springer), Journal of Banking and Finance (since 2018), Empirical Economics (Springer, since 2018), European Finance Journal (since 2019), Frontiers in Artificial Intelligence in Finance (since 2018), Journal of Investment Strategies (since 2020)

Editorships

• Member of the Editorial Board of Journal of Investment Strategies, since 2021. Editor-in-Chief: Prof. Ali Hirsa, Columbia University. List of Editors. Advisory Board: Robert Engle - NYU Stern School of Business; Kenneth A. Froot - Harvard Business School; Robert Jarrow - Cornell University, Johnson School of Business
• Associate Editor "Digital Finance" (Springer)
• Associate Editor "Frontiers Artificial Intelligence in Finance"

Outreach activities

• Research workshop on Blockchain at the Hungarian Central Bank (April 2021)
• Research workshop on Artificial Intelligence at the Hungarian Central Bank (March 2020)
• Research workshop on Big Data at the Hungarian Central Bank (June 2019)
• Swissnex mobility grant, New York City (2016)
• "Von Chatbots, Tradingrobotern und Versicherungsoptimierern", contribution to ZHAW Impact (2019)
• Academia-industry round-table discussion: Big Data Analytics – FinTech Risk Management Tools (July 2019)
• Organization of Academia-Industry conferences:
• 5th European Conference on AI in Finance and Industry (2020)
• 4th European Conference on AI in Finance and Industry (2019), 30 speakers; 250 participants from Switzerland and 19 European countries
• 3rd European COST Conference on AI in Finance and Industry (2018), 30 speakers; 260 participants from Switzerland and 16 European countries
• 2nd European COST Conference on AI in Finance and Industry (2017), 20 speakers; 180 participants from within Switzerland and across Europe
• 1st European COST Conference on Mathematics for Industry (2016), 20 speakers; 120 participants from within Switzerland
• Many Academia-Industry research projects with knowledge transfer since 2015

Activities on Fintech and AI

• Chair of a research network on Fintech and Artificial Intelligence in Finance (150 researchers from 36 countries)
• Member of the Board of a European Fintech, Blockchain and Artificial Intelligence project with 22 participating European countries and 27 national supervisory authorities
• Blockchain Work Package Manager in Finance, EU H2020 Project
• Member of the Management Committee of a European COST network for mathematics and industry
• Director of studies for an executive education course on "Blockchain, Big Data and Distributed Ledgers" as well as "Machine Learning and Deep Learning in Finance"
• Project leader for several research projects with the financial industry on blockchain
• Project leader for the SNSF project "Mathematics and Fintech - The Next Revolution in the Digital Transformation of the Financial Industry"
• Extensive research networks at a national and international level, interdisciplinary with teams from business, law and engineering schools
• Contributor to a research application for a European industrial doctorate on "Financial Data Science"
• Responsible for the Fintech Initiative of the School of Engineering
• Head of the organisation committee of an annual (since 2016) conference on "Artificial Intelligence in Finance and Industry" (260 participants from 19 European countries)
• Head of the organisation committee of an international research workshop on "Big Data Analytics"

Current as of August 2021.