Marcos López de Prado

Professor of Practice Cornell University

Prof. Marcos López de Prado is the CIO of True Positive Technologies (TPT), and a 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.

Concurrently with the management of investments, between 2011 and 2018 Marcos was a research fellow at Lawrence Berkeley National Laboratory (U.S. Department of Energy, Office of Science). He has published dozens of scientific articles on machine learning and supercomputing in the leading academic journals, is a founding co-editor of The Journal of Financial Data Science, and SSRN ranks him as the most-read author in economics. Among several monographs, Marcos is the author of the graduate textbook Advances in Financial Machine Learning (Wiley, 2018). 

Marcos earned a PhD in financial economics (2003), a second PhD in mathematical finance (2011) from Universidad Complutense de Madrid, and is a recipient of Spain's National Award for Academic Excellence (1999). He completed his post-doctoral research at Harvard University and Cornell University, where he is a faculty member. In 2019, Marcos received the ‘Quant of the Year Award’ from The Journal of Portfolio Management.

Conference Day One: 16 September 2019

Monday, September 16th, 2019

11:35 AM The past and future of quantitative research

Traditionally, the development of investment strategies has required domain-specific knowledge and access to restricted datasets. The great majority of data scientists lack either or both of these requirements. The future of quantitative research passes through the design of platforms that enable all data scientists to identify market inefficiencies, hence increase market efficiency by democratizing finance.

Check out the incredible speaker line-up to see who will be joining Marcos Lopez de.

Download The Latest Agenda