Giuseppe Dari-Mattiacci is professor of law and economics, a fellow of the Tinbergen Institute and a research member of the European Corporate Governance Institute. He studied in law (D.Jur. University of Rome “La Sapienza”, LL.M. and J.S.D. Columbia Law School), law & economics (LL.M. and Ph.D. Utrecht University) and mathematics (B.A. University of Amsterdam). He has been a professor at Columbia Law School and a vising professor at George Mason University, the University of Chicago, Columbia University, and New York University. In 2018-2020 he served as the president of the European Association of Law & Economics. His research focuses on the legal and organizations determinants of innovation in finance, contracts and law.

Prof. dr. Cees Diks is Professor of Data Analysis and Economics Statistics. He is Co-director of the Center for Nonlinear Dynamics in Economics and Finance (CeNDEF), General Director of the Research Centre for Sustainable Investments and Insurance (RCSII) and Programme Director of the MSc in Data Science and Business Analytics.

Co-supervisor of the PhD project: Environment, Social and Governance (ESG) regulation impact on financial stability

Prof. Marc Francke is full professor Real Estate Analytics at the Finance Group of the University of Amsterdam Business School. Most of his research involves commercial and residential real estate space and asset markets, including real estate property valuation using traditional econometric and machine learning approaches. In addition to his position at the university,

Professor Francke is affiliated with Ortec Finance's R&D Lab. He holds a PhD in Econometrics from the Vrije Universiteit Amsterdam on the topic of state space modelling with applications to real estate valuation. Professor Francke is president (2023 – 2024) of the European Real Estate Society and secretary of the European Commercial Real Estate Data Alliance.

His primary research interests are price dynamics and property price Index construction, market and funding liquidity, and automated valuation models. His academic research has resulted in publications in various scientific journals.

Dr. Davide Grossi is associate professor at the Amsterdam Law School, the Institute for Logic, Language and Computation of the University of Amsterdam, and the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence of the University of Groningen. He holds a PhD in Computer Science from the University of Utrecht (2007). Grossi’s research focuses on algorithmic aspects of collective decision making. 

He contributes to several areas within AI and computer science research, including: multi-agent systems, knowledge representation and reasoning, blockchain, computational logic. 

Davide Grossi's website

Paul Groth is Professor of Algorithmic Data Science at the University of Amsterdam where he leads the Intelligent Data Engineering Lab (INDElab) and directs the UvA’s Data Science Center. He holds a Ph.D. in Computer Science from the University of Southampton (2007) and has done research at the University of Southern California, the Vrije Universiteit Amsterdam and Elsevier Labs.

His research focuses on intelligent systems for dealing with large amounts of diverse contextualized data. Paul is scientific director of the. Additionally, he is co-scientific director of two Innovation Center for Artificial Intelligence (ICAI) labs. Data is critical for enabling Fintech and his work aims to make data estates that are more useful and governable.

Paul Groth's website

Kristina Irion is Associate Professor at the Institute for Information Law (IViR) at Amsterdam Law School. She is the Director of the Academic Excellence Track (AcET) and IViR’s Summer Course on Privacy Law and Policy. A baseline of Kristina’s research is the interpretation and analysis of the transformational processes that reconfigure the legal properties of digital data in line with societal needs.

 Kristina’s research agenda focuses on the governance of transnational digital technologies and global data value chains from the perspective of European law and international economic law. Research projects she led or participated in have achieved high scientific recognition and societal impact. She frequently provides expertise to EU institutions, the Council of Europe, the OECD, the Dutch government as well as civil society organisations. 

Kristina is a member of the Scientific Committee of the annual Computer Privacy and Data Protection (CPDP) International Conferences and the International Advisory Board of the Electronic Privacy Information Center (EPIC). In the AI4Fintech programme Kristina co-supervises a PhD research project on “Systems for AI Data Quality in Finance”.

Dr.ir. Jaap Kamps is an associate professor of information retrieval at the University of Amsterdam, at the natural language processing and digital humanities group of the Institute for Logic, Language and Computation.

His research interests span all facets of information storage and retrieval from user-centric to system-centric, and from basic research to applied research.  Current interests are in “IR for social good” by working on novel access tools for cultural heritage, political,
and legal data, and on developing more efficient and interpretable neural models for search and analytics.

Jaap Kamp's profile on the website for the Institute for Logic, Language and Computation

Dr. Sara Magliacane is an assistant professor in Causality at the Amsterdam Machine Learning Lab at the University Amsterdam, and a Research Scientist at MIT-IBM Watson AI Lab. Her research focuses on three directions, causal representation learning, causality-inspired machine learning and how causality ideas help RL adapt to new domains and nonstationarity faster. Her goal is to leverage ideas from causality to make ML methods robust to distribution shift and generalizable across domains and tasks. Sara also continues working on her previous research on causal discovery, i.e. learning causal relations from data.

Sara received a PhD at the VU Amsterdam on learning causal relations jointly from different experimental settings, even with latent confounders and small samples. She has interned at Google Zurich and NYC, and then she was a postdoctoral researcher at IBM Research NY, working on methods to design experiments that would allow one to learn causal relations in a sample-efficient and intervention-efficient way.  During Spring 2022, she was a visiting professor in the Simons Institute in Berkeley for a semester on Causality.

Edoardo D. Martino is a assistant professor (tenure track) of Law & Finance at the University of Amsterdam (UvA) and a Research Associate at the European Banking Institute (EBI).

Edoardo earned his PhD in Law and Economics at Erasmus University Rotterdam (EUR), an LL.M. in Law & Economics (EUR - with distinction) and JD-equivalent Law Degree from (University of Florence-summa cum laude). He was a visiting researcher in several Universities, such as Oxford University, University of Hamburg, University of Bologna, Goethe University Frankfurt.

Edoardo engages in research and teaching activities in the broad field of Law & Finance. His research focuses on financial regulation, corporate governance and fintech. On these topics, he published book chapters in houses such as Routledge and Elgar, as well as articles in journals such as the European Business Organization Law Review (EBOR), the Journal of Corporate Law Studies (JCLS), and the European Company and Financial Law Review (ECFR). He is a guest contributor to, among others, the Oxford Business Law Blog (OBLB) and the Columbia Blue Sky Blog.

Edoardo D. Martino's personal website

Dr Maarten Marx is an assistant professor in the Information Retrieval Lab at the Informatics Institute of the University of Amsterdam. His research is on information retrieval from semi structured data, with an emphasis on governmental data. Currently he applies IR technology to documents released under the Dutch Freedom of Information Act, treating those documents as FAIR data. 

Within AI4FinTech Marx is connected to the AIDA (Artificial Intelligence for Due-diligence Analysis) project.

Dr. Ana Mićković is an assistant professor of Accounting at the University of Amsterdam since 2019. She earned her PhD from the Karlsruhe Institute of Technology and holds both a Bachelor's and Master's degree in Economics from the University of Zagreb's Faculty of Economics and Business, as well as a Bachelor's degree in Mathematics from the Faculty of Science. Ana gained professional experience at the Ministry of Finance of the Republic of Croatia, University College for Law and Finance, and Croatian National Bank. Her research focuses on the application of artificial intelligence in company performance forecasting and accounting fraud detection, including the detection of greenwashing behavior.

Hossein Nabilou is an Assistant Professor of Law at the University of Amsterdam, Amsterdam Law School. Prior to the UvA, Hossein was UNIDROIT - Bank of Italy Chair at the International Institute for the Unification of Private Law (UNIDROIT), where he was involved in the digital assets and private law and bank insolvency projects. Hossein was also a postdoctoral researcher and lecturer in Banking and Financial Law at the Faculty of Law, Economics and Finance of the University of Luxembourg. He had held postdoctoral and visiting researcher positions at the Ludwig-Maximilians-University (LMU) Munich, Columbia University in the City of New York, and EUROPAINSTITUT in Basel, where he had worked on banking structural reforms, money view of banking, and regulation of hedge funds, respectively. Hossein holds a Ph.D. from the Erasmus University of Rotterdam, an LL.M. from the University of Pennsylvania Law School, an LL.M. in Public Law, and an LL.B. both from Shahid Beheshti University School of Law,

Hossein’s academic interests include Law & Finance, Regulation of Financial Markets and Institutions, European and International Financial Regulation, Law & Financial Technology, and Company Law. His research focuses on monetary and banking law, shadow banking, financial market infrastructures, banking structural reforms, financial contracting, and legal issues of fintech, payments, blockchain, and crypto-assets. Hossein is the author of several award-winning articles published in internationally renowned peer-reviewed law journals.

Dr. Debraj Roy is an Assistant professor at the Computational Science Lab, University of Amsterdam. He was an Assistant professor at the Faculty of Behavioural, Social and Management Science, University of Twente. Debraj is also a research fellow at the 4TU.DeSIRE - the Strategic Research Program on Resilience, the Netherlands and the Amsterdam Institute for Global Health and Development. He holds a PhD degree in Computational Science from Nanyang Technological University, Singapore.

Debraj has a strong passion for understanding how societies ‘emerge’ due to uncoordinated self-organization and how sustainable development can be achieved in this era of rapid transitions. His current research focuses on the dynamics of complex social systems such as understanding the interaction between climate change and poverty traps. Debraj is also interested to develop computational methods such as natural-scale agent-based models and methods for uncertainty quantification, necessary to understand these complex systems.

Sebastian Schelter is an Assistant Professor with the University of Amsterdam, conducting research at the intersection of data management and machine learning. He is affiliated with the Intelligent Data Engineering Lab, manages the AI for Retail Lab and has a joint appointment as research fellow at Ahold Delhaize. His work addresses data-related problems that occur in the real world application of machine learning. Examples are scalable data quality validation, data debugging for machine learning pipelines, or enforcing the “right-to-be-forgotten” in deployed machine learning applications.

Dr. Michael Werner is an Associate Professor of Accounting Information Systems (AIS) at the Amsterdam Business School, University of Amsterdam. Before joining UvA he worked at the Copenhagen Business School in Denmark, the Auckland University of Technology in New Zealand, and as a professional auditor at PwC Germany for several years specialised in IT and business process audits. He is certified as an Information Systems Auditor (CISA), Information Security Manager (CISM), and in the Governance of Enterprise IT (CGEIT).

His primarily design science driven research focusses on data science in the context of accounting and auditing. He investigates how novel data analysis techniques can be developed and applied particularly in the context of statutory audits. His research on process mining for financial statement audits was awarded the American Accounting Association’s AIS Section Outstanding Dissertation Award, and he received several scholarships related to his work. His research was published by the International Journal of Accounting Information Systems (IJAIS), the Journal of Information Systems (JIS), the IEEE Transactions on Services Computing (IEEE TSC), and several leading information system conferences. He served as an academic advisor to the International Auditing and Assurance Standards Board (IAASB) as a member of its Data Analytics Project Advisory Panel and currently acts as a special editor for the JIS.

Amit Zac is a postdoctoral researcher at the University of Amsterdam and ETH Zurich. Before joining UvA, Amit was a PhD student and a teaching assistant in Competition Law and Empirical Research Methods at The University of Oxford, Law Faculty. He obtained his LL.M. from Erasmus University Rotterdam and the University of Hamburg in Law and Economics with distinction.

Amit’s work focuses on competition policy and its welfare implications. His research looks at social and economic challenges associated with the digital economy, and specifically economic inequality and privacy. His scholarship combines legal and policy analysis with empirical studies, integrating law research within the wider social sciences. His previous research project, funded by the Leverhulme trust, focuses on the causal effect of competition law on economic inequality, and incorporates a range of methodological approaches.

Currently Amit is working on a two-year Swiss Science Foundation project on the automation of privacy laws enforcement using machine learning and natural language processing (NLP).