Keynote Speakers & Panels

Keynote Speakers

Marcos López de Prado

Founder and CIO of True Positive Technologies; Author.

Prof. Marcos López de Prado is the CIO of True Positive Technologies (TPT), and professor of practice at Cornell University’s School of Engineering. He has over 20 years of experience developing investment strategies with the help of machine learning algorithms and supercomputers. He launched TPT after he sold some of his patents to AQR Capital Management, where he was a principal and AQR’s first head of Machine Learning. Marcos also founded and led Guggenheim Partners’ Quantitative Investment Strategies business, where he managed up to $13 billion in assets, and delivered an audited risk-adjusted return (information ratio) of 2.3.

Charles Elkan

Managing Director, Goldman Sachs

Charles Elkan is a managing director and the global head of machine learning at Goldman Sachs. From 2014 to 2018, he was the first Amazon Fellow, leading a team of over 30 scientists and engineers in Seattle, Palo Alto, and New York doing research and development in applied machine learning for both e-commerce and cloud computing. Before joining Amazon, Dr. Elkan was a tenured professor of computer science at UCSD. His students have continued on to faculty positions at universities that include Carnegie Mellon, Columbia, Stanford, and the University of Washington, and to executive positions at Google and other companies.

Yolanda Gil

Research Professor of Computer Science and Spatial Sciences and Principal Scientist at USC Information Sciences Institute

Dr. Yolanda Gil is Director of Knowledge Technologies at the Information Sciences Institute of the University of Southern California, and Research Professor in Computer Science and in Spatial Sciences. She is also Associate Director of Data Science at USC and Director of the Center for Knowledge-Powered Interdisciplinary Data Science. She received her M.S. and Ph. D. degrees in Computer Science from Carnegie Mellon University, with a focus on artificial intelligence. Dr. Gil collaborates with scientists in many domains on semantic workflows and metadata capture, social knowledge collection, computer-mediated collaboration, and automated discovery. She uses artificial intelligence techniques for data science, with particular interest in reuse of data analysis workflows and capturing of provenance. Her current focus is on using artificial intelligence for environmental resources, integrating climate, hydrology, agriculture, and socioeconomic models. She is a Fellow of the Association for Computing Machinery (ACM), and Past Chair of its Special Interest Group in Artificial Intelligence. She is also Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), and was elected as its 24th President in 2016.

Michael Kearns

Professor and National Center Chair, Computer and Information Science at the University of Pennsylvania

Michael Kearns is a professor in the Computer and Information Science department at the University of Pennsylvania, where he also has appointments in the Economics
department and Wharton School. He is founder and co-director of Penn’s Warren Center for Network and Data Sciences, and he is Senior Advisor in Morgan Stanley’s Center of Excellence for Machine Learning and AI. Kearns has long experience as a quant on Wall Street and as a consultant in the technology industry. His research interests are in machine learning, algorithmic game theory and quantitative trading. Kearns and his Penn colleague Aaron Roth are co-authors of the general-audience book “The Ethical Algorithm: The Science of Socially Aware Algorithm Design” (Oxford University Press, 2019).

Susan Tibbs

Vice President, Market Regulation, FINRA

Susan is vice president of the Market Manipulation Group at the Financial Industry Regulatory Authority (FINRA). She holds a J.D. from Western Michigan University.

Jeanette Wing

Professor and Director, Data Science Institute, Columbia University

Jeannette M. Wing is Avanessians Director of the Data Science Institute and Professor of Computer Science at Columbia University. She came to Columbia in July 2017 from Microsoft, where she served as Corporate Vice President of Microsoft Research, overseeing a global network of research labs. She is widely recognized for her intellectual leadership in computer science, particularly in trustworthy computing. Jeannette’s seminal essay, titled “Computational Thinking,” was published more than a decade ago and is credited with helping to establish the centrality of computer science to problem-solving in fields where previously it had not been embraced.


Panel announcements to follow.