Organizers
Workshop Committee
Vice President and Research Lead, JP Morgan AI Research and Adjunct Professor, NYU
Naftali Cohen is a Vice President and Research Lead at AI Research, JP Morgan, and an Adjunct Professor at the Tandon school at New York University. He has over ten years of R&D experience in predictive analytics and machine learning in academic and industrial settings. Prior to joining JP Morgan, he worked as an academic researcher at Yale University and Columbia University, focusing on climate modeling and extreme-weather forecasting. He holds a Ph.D. in Applied Mathematics from the Courant Institute of Mathematical Sciences at New York University.
Chief Scientist, Center for Machine Learning at Capital One
Senthil Kumar is the Chief Scientist at the Center for Machine Learning at Capital One where he applies Machine Learning and AI to various business problems. Prior to joining Capital One, he was at Bell Laboratories where he developed new technologies and managed several successful products that have been licensed around the world. He has published over 30 papers and holds 6 patents. Most recently, he co-organized the 2021 KDD Workshop on Machine Learning in Finance and the 2021 ICML Workshop on Representation Learning for Finance and e-Commerce Applications.
Eren Kurshan
Executive Head of AI and Data Science for Client Protection for Bank of America Corporation
Eren Kurshan is the Executive Head of AI and Data Science for Client Protection for Bank of America Corporation. In this role, she is responsible for leading the development of custom Machine Learning and Deep Learning solutions for Fraud detection, prevention, and operational improvement for Bank of America’s payment systems. Prior to her role at Bank of America, Eren has led various AI and Machine Learning Programs at Columbia University, J.P. Morgan Corporate and Investment Bank, and IBM Corporate Headquarters. Dr. Kurshan was a Visiting Fellow at Princeton University Center for Information Technology Policy in 2015-2016. She has been an Adjunct Professor of Computer Science at Columbia University since 2014. Dr. Kurshan received her Ph.D. in Applied Algorithms and Theoretical Computer Science from the University of California. Her research interests include the application of deep learning in financial services, applied algorithms, and efficient system design for AI. Eren has over 60 peer-reviewed academic publications, over 100 patents. She was the recipient of 2 Best Paper Awards from IEEE and ACM Conferences, and a number of Outstanding Research and Invention Accomplishment Awards from IBM Research.
Vice President of Market Regulation at FINRA
Susan Tibbs is the Vice President of Market Regulation at FINRA. She has served in various roles of increasing responsibility leading to her present position. Susan leads the Trading Analysis, Market Manipulation Investigations, and Exchange Traded Products Surveillance and Investigations sections of Market Regulation. She has developed a specialty in complex products, new exchanges, and cross-market surveillance and investigations. She oversees FINRA’s Cross Market Manipulation Surveillance Patterns and directs investigations for equity products both traded on and off-exchange. Over the years she has been instrumental in the planning and implementation of surveillance patterns for various FINRA clients. Currently, she is part of the leadership team managing the implementation of machine learning in production surveillance patterns for Market Regulation. Susan holds a B.A. in International Affairs from the George Washington University and a Juris Doctorate from Western Michigan University Thomas M. Cooley Law School. Susan has participated in FINRA’s Leadership@Wharton program and the Center for Creative Leadership.
Managing Director at J.P. Morgan AI Research
Dr. Balch is a Research Managing Director at J.P. Morgan AI Research and a Professor of Interactive Computing at Georgia Tech (on leave). He is interested in problems concerning multi-agent social behavior in domains ranging from financial markets to tracking and modeling the behavior of ants, honey bees, and monkeys. He co-founded Lucena Research, an investment software firm that applies Machine Learning and Big Data approach to investment problems. Balch has published 120 peer-reviewed articles. His work has been covered by the Wall Street Journal, CNN, New Scientist, Institutional Investor, and the New York Times. His graduated students work at NASA/JPL, Boston Dynamics, Goldman Sachs, Morgan Stanley, Citadel, AQR, and BlackRock. Before his career in computing, Tucker was an F-15 pilot in the US Air Force.
SEC’s Division of Trading and Market’s (TM) Director of Innovation and Technical Solutions
Kevin Compher serves as SEC’s Division of Trading and Market’s (TM) Director of Innovation and Technical Solutions. Kevin is a strategic thought leader in cloud computing, software engineering and data science communities that has effectively developed strategic partnerships across the SEC, government, industry, and academia. He holds science and engineering degrees from the University of Pennsylvania and the Naval Postgraduate School, as well as a number of data science and technology certifications. Since joining the SEC in 2016, he has served as an applied researcher and financial engineer, focused on capital market structure, artificial intelligence, high-performance computing, market data, as well as has led technical activities for Consolidated Audit Trail systems. He is particularly interested in open source software, DevOps, explainable machine learning, automation, and visualization capabilities, and leads numerous quant efforts and forums to foster collaboration between data science communities, including SEC’s Covid-19 Data Task Force. Finally, in collaboration with colleagues in the financial regulatory space, Kevin has developed, supported and performed several analyses addressing fairness, accountability and transparency of machine learning applications and standards in self-regulatory organizations used in the capital markets.