Marcos López de Prado is a hedge fund manager, entrepreneur, inventor, and Cornell professor. He has helped modernize finance for the past 25 years, by pioneering widely used machine learning and statistical inference methods, and by implementing the Big Science paradigm of national laboratories at ...more

Marcos López de Prado is a hedge fund manager, entrepreneur, inventor, and Cornell professor. He has helped modernize finance for the past 25 years, by pioneering widely used machine learning and statistical inference methods, and by implementing the Big Science paradigm of national laboratories at some of the largest investment corporations. In recognition of this work, Marcos has received various scientific and industry awards, including the National Award for Academic Excellence (1999) by the Kingdom of Spain, the Quant Researcher of the Year Award (2019) by Portfolio Management Research, the Buy-Side Quant of the Year Award (2021) by Risk.net, and the Bernstein Fabozzi / Jacobs Levy Award (2024) by The Journal of Portfolio Management. The Social Science Research Network (SSRN) ranks him among the 10 most-read authors in Economics, and he has testified before the U.S. Congress on AI policy. Marcos serves currently as global head of quantitative research and development at the Abu Dhabi Investment Authority (ADIA), one of the largest sovereign wealth funds, and is a founding board member of ADIA Lab, Abu Dhabi's center for research in data and computational sciences. Before ADIA, he founded True Positive Technologies LP (TPT), a firm that researches and develops investment IP. TPT has advised clients with a combined AUM in excess of $1 trillion, and has licensed and sold several patents to some of the largest investment funds in 8-figure dollar deals. Before TPT, Marcos was a partner and the first head of machine learning at AQR Capital Management. He also founded and led Guggenheim Partners’ Quantitative Investment Strategies business, where he managed $13 billion in assets, and delivered an audited risk-adjusted return (information ratio) of 2.3. Concurrently with the management of multibillion-dollar funds, since 2011 Marcos has been a research fellow at Lawrence Berkeley National Laboratory (U.S. Department of Energy, Office of Science). He has published approximately 100 scientific articles on financial machine learning and statistical inference in the leading academic journals, is a founding co-editor of The Journal of Financial Data Science, and the author of several influential graduate textbooks published by Cambridge University Press and Wiley. Marcos earned a PhD in financial econometrics (2003), and a second PhD in mathematical finance (2011) from Universidad Complutense de Madrid. He completed his post-doctoral research at Harvard University and Cornell University, where he is a professor.less