Dr. Marcos López de Prado is a professor of practice at Cornell University's School of Engineering, Cornell Financial Engineering Manhattan (CFEM), and the CIO of True Positive Technologies (TPT). 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 Ph.D. in Financial Economics (2003), a second Ph.D. 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 still teaches. In 2019, Marcos received the 'Quant of the Year' Award from The Journal of Portfolio Management.
Advances in Financial Machine Learning