Speakers

Davide Crapis

Davide founded and lead the dAI Team, driving research and ecosystem coordination at the intersection of AI and Ethereum. This means supporting AI builders in adopting Ethereum’s payments and finance rails, while also advancing decentralized infrastructure and open source public goods that position Ethereum as a foundational platform for the future of AI.Founded and lead the dAI Team, driving research and ecosystem coordination at the intersection of AI and Ethereum. This means supporting AI builders in adopting Ethereum’s payments and finance rails, while also advancing decentralized infrastructure and open source public goods that position Ethereum as a foundational platform for the future of AI.

Fayçal Drissi

Fayçal is currently a postdoctoral researcher at the Oxford-Man Institute, University of Oxford. His research focuses on the economics of blockchains and financial technology. Prior to his doctoral studies, he spent five years in the hedge fund industry.

Jillian Grennan

Professor Grennan is an economist whose research provides actionable insights for practitioners navigating value creation, emerging technologies, and collective decision-making. Professor Grennan has pioneered innovative computational techniques to quantify difficult-to-measure aspects of corporate culture and diversity, equity, and inclusion (DEI), and empirically examines their impact on financial value and productivity.

In addition, Professor Grennan's academic expertise extends to emerging financial technologies (FinTechs) catalyzed by artificial intelligence (AI) and blockchain advancements. Her research in this domain investigates the effects of AI on high-skilled work, the relationship between market efficiency and AI signals, decentralized governance and DAOs, the competitive dynamics between incumbents and FinTech startups, and the evolving regulatory needs arising from AI, cryptocurrencies, and decentralization.

Hanna Halaburda

Hanna Halaburda joined New York University Stern School of Business as an Associate Professor of Technology, Operations and Statistics in September 2019.

In her research, Professor Halaburda studies how technology changes economic forces and thus affects business models and interactions in the marketplace. One strand of her work focuses on competition between digital platforms. Since 2011, she has built a research program in digital currencies and blockchain technologies, including analyses of incentives in consensus protocols, cryptocurrency adoption, smart contracts, and token issuance. Professor Halaburda’s work has been published in Management Science, RAND, American Economic Journal, Games and Economic Behavior, and other academic journals. In 2015 she co-authored Beyond Bitcoin: The Economics of Digital Currency, the first book analyzing digital currencies from the economic perspective. The book’s 2nd edition, co-authored with Miklos Sarvary and Guillaume Haeringer, was published by Palgrave Macmillan in 2022.

Ruizhe Jia

Ruizhe is an Assistant Professor in the Department of Management Science & Engineering at Stanford University. He earned his Ph.D. in Operations Research from Columbia Universityi. He received both his B.S. and M.A. in Mathematics in 2018 from the University of California, Los Angeles (UCLA) under the Departmental Scholars Program.

His research lies at the intersection of financial technology, market microstructure, and mechanism design. In the broad field of financial technology, his work has focused on decentralized finance (DeFi), tackling issues ranging from the design of new marketplaces to improving the efficiency of existing protocols, as well as examining the interactions between traditional centralized exchanges and decentralized financial platforms. He has conducted pioneering research in DeFi and digital assets, playing a key role in advancing our understanding of risk management and mechanism design in DeFi systems. His analysis of decentralized exchanges and automated market makers identifies inefficiencies and proposes solutions to enhance both efficiency and adoption.

Olga Klein

Olga is an Associate Professor of Finance and a research fellow at the Gillmore Center for Financial Technology at Warwick Business School. Olga's research interests are in the areas of market microstructure, algorithmic and high-frequency trading, fintech and decentralized finance. In particular, she studies the impact of technology on liquidity and efficiency of security prices, both on traditional as well as decentralized exchanges (DEX). In her recent joint industry project with ChainSolid Labs, she investigates how blockchain scaling solutions improve liquidity concentration on the largest DEX, Uniswap. Olga has also advised FCA on the future of digital finance in the UK. She has been a member of the programme committee of European Finance Association and is a co-organizer of an annual WBS Gillmore Centre Conference on DeFi and Digital Currencies. She has developed and taught undergraduate, masters and PhD courses in market microstructure, advanced trading strategies, corporate finance and investment management. Prior to joining WBS, Olga was a post-doctoral research fellow at E-Finance Lab of the University of Frankfurt. She holds a Ph.D. in Finance from the University of Mannheim, Germany. She received her MSc in Finance and Economics from the University of Magdeburg in Germany and her BSc in Economic Theory from the Kyiv-Mohyla Academy in Ukraine.

Alfred Lehar

Alfred is professor in the finance area. He has been teaching at the Haskayne School of Business since 2005. He received an undergraduate degree and a PhD from the University of Vienna. Prior to Joining Haskayne, Alfred held positions at the University of Vienna and the University of British Columbia.

Alfred teaches fintech, decentralized Finance, and a class on Corporate Finance for PhD students. Alfred's areas of research interest include fintech, bank regulation, financial stability, and corporate finance.

Alfred is currently researching on blockchain technology and its impact on finance. His papers cover mining fees and price differentials in Bitcoin markets, decentralized exchanges, liquid staking, decentralized lending, miner extractable value, and under what conditions renegotiations can facilitate a private sector workout of a financial crisis. He also works on how information produced by financial markets can be optimally used in bank regulation. In his previous research Alfred developed several methods on how to measure the probability of a financial crisis, analyzed conflicts of interest for financial Analysts, and looked at the empirical fit of alternative option pricing models. Alfred’s work has been published in the Journal of Finance, the Review of Financial Studies, Management Science, the Journal of Financial Intermediation, the Journal of Banking and Finance, and the Review of Finance.

In his spare time he enjoys skiing and hiking.

Ciamac Moallemi

Ciamac is William von Mueffling Professor of Business in the Decision, Risk, & Operations Division of the Graduate School of Business at Columbia University, and the Director of the Briger Family Digital Finance Lab.

Shumiao Ouyang

Shumiao is an Associate Professor of Finance at Saïd Business School, University of Oxford, and a Tutorial Fellow in Management at Wadham College, Oxford. He has a Ph.D. in Economics from Princeton University, an M.S. in Finance from Peking University, and a dual B.S. in Biology and B.A. in Economics from Tsinghua University.

He is passionate about FinTech, Household Finance, AI, Digital Payment, and Data Privacy, especially the emerging field of BigTech Finance. He collaborates with leading BigTech firms such as Ant Group and Alibaba to explore the evolving landscape of finance and technology. He aims to uncover the complex interactions and impacts of our rapidly digitizing world on the economy and society.

Andreas Park

Andreas is a Professor of Finance at the University of Toronto. He started his career at UofT in 2003 in the Department of Economics, and since July 2015, he has been with the Department of Management at UTM and the Rotman School of Management. He is also currently serving as the Research Director at FinHub, the Rotman School’s Financial Innovation Lab. He spent the 2014–2015 academic year in Wonderful Copenhagen as a Visiting Professor of Finance at Copenhagen Business School.

His research focuses on financial market structure and, more recently, FinTech. He works to gain a better understanding of how technological innovations such as blockchain technology and high-frequency algorithmic trading affect financial markets. His research is both theoretical and empirical.

He has published and has forthcoming papers in a wide range of economics and finance journals, including Econometrica, The Journal of Finance, The Journal of Financial Economics, and The Journal of Financial and Quantitative Analysis. He has previously served as Co-Director of UofT’s Master in Financial Economics program and is the Associate Chair of the Department of Management. He earned his PhD in Economics from the University of Cambridge and completed his undergraduate studies in Mathematical Economics at Bielefeld University.

Fahad Saleh

Fahad is the Emerson/Merrill Lynch Professor at the University of Florida and an advisor to Columbia University’s Center for Digital Finance and Technologies. He also serves on the editorial board of Management Science, is a co-organizer of the Crypto and Blockchain Economics Research (CBER) Forum, and is a fellow of the FinTech Initiative at Cornell University. His research examines the economic implications of blockchain technology (i.e., cryptoeconomics) and has been published in leading scholarly journals such as Management Science, The Review of Financial Studies, and The Journal of Financial Economics.

Roger Wattenhofer

Roger Wattenhofer is head of research at Anza, the leading Solana-focused software development firm. He is also a full professor at the Information Technology and Electrical Engineering Department, ETH Zurich, Switzerland. He received his doctorate in Computer Science from ETH Zurich. Previously, he worked multiple years at Microsoft Research in Redmond, Washington, at Brown University in Providence, Rhode Island, and at Macquarie University in Sydney, Australia. Roger Wattenhofer’s research interests include a variety of algorithmic and systems aspects in computer science and information technology, currently mostly machine learning, distributed systems, and theory of networks. He publishes in different communities: distributed computing (e.g., PODC, SPAA, DISC), networking and systems (e.g., SIGCOMM, SenSys, IPSN, OSDI, MobiCom), algorithmic theory (e.g., STOC, FOCS, SODA, ICALP), and machine learning (e.g., ICML, NeurIPS, ICLR, ACL, AAAI). His work received multiple awards, e.g. the Prize for Innovation in Distributed Computing for his work in Distributed Approximation. He published the book “Blockchain Science: Distributed Ledger Technology“, which has been translated to Chinese, Korean and Vietnamese.

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