Andrew W. Lo

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Andrew W. Lo

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Affiliated MIT Sloan Group

MIT Department

Andrew W. Lo is the Charles E. and Susan T. Harris Professor at the MIT Sloan School of Management and the director of MIT's Laboratory for Financial Engineering. He is also a Principal Investigator at the Computer Science and Artificial Intelligence Laboratory (CSAIL), an affiliated faculty of the Department of Electrical Engineering and Computer Science, a member of the Operations Research Center (ORC) and the Institute for Data, Systems, and Society (IDSS), all at MIT.  He is also an external faculty at the Santa Fe Institute, Santa FE, NM. He received his AM and PhD in economics from Harvard University, his BA in economics from Yale University, and graduated from the Bronx High School of Science. He began his academic career at the University of Pennsylvania's Wharton School, where he was an Asistant and Associate Professor. 

His current research spans several areas: evolutionary models of investor behavior and adaptive markets; systemic risk and financial regulation; quantitative models of financial markets; financial applications of machine-learning techniques and secure multi-party computation; healthcare finance; and deep-tech investing, including fusion energy and advanced manufacturing. Recent projects include:  

An evolutionary model of asset prices based on the Adaptive Markets Hypothesis 

New financing methods/ business models for accelerating biomedical innovation 

Quantitative approaches to deep-tech investing 

Applications of AI, especially machine learning and LLMs, to financial advice, “quantamental investing,” and healthcare finance 

Lo has published extensively in academic journals (see http://alo.mit.edu) and his most recent book is The Adaptive Markets Hypothesis: An Evolutionary Approach to Understanding Financial System Dynamics. His awards include Sloan and Guggenheim Fellowships, the Paul A. Samuelson Award, the Harry M. Markowitz Award, the CFA Institute’s James R. Vertin Award, as well as election to Academia Sinica, the American Academy of Arts and Sciences, the American Finance Association, the Econometric Society, and TIME’s 2012 list of the “100 most influential people in the world.” His trade book Adaptive Markets: Financial Evolution at the Speed of Thought published in 2017 has also received a number of awards, listed here, and he has received multiple teaching awards from the University of Pennsylvania and MIT. 

Lo is also a research associate of the National Bureau of Economic Research; a cofounder and board member of BridgeBio Pharma and Uncommon Cures; a cofounder of AlphaSimplex Group, QLS Advisors, QLS Technologies, Quantile Health, and Rutherford Energy Ventures; a board member of GCAR, n-Lorem, and Vesalius; and an investor in and advisor to a number of biotech companies and non-profit organizations. For a complete list of Lo’s affiliations and conflicts of interest disclosure, please click here.

Honors

JOIM honors Kritzman and Lo

February 20, 2024

Lo wins 2021 digital teaching award

June 3, 2021

Pinnacle Achievement Award Given to Lo

Markowitz Award given to Lo

GARP honors Lo as Risk Manager of the Year

Lo wins Jamieson Prize

Lo’s book wins PROSE Award

Publications

"Estimating Correlations Between Clinical Trial Outcomes Using Generalised Estimating Equations."

Dai, Yuehao, Andrew W. Lo, Manish Singh, Qingyang Xu, and Ruixun Zhang. Oxford Bulletin of Economics and Statistics. Forthcoming.

"Optimal Financing Design for Drug Development Firms."

Thakor, Richard T. and Andrew W. Lo. Research Policy. Forthcoming. SSRN Preprint.

"Paying off the Competition: Contracting, Market Power, and Innovation Incentives."

Li, Xuelin, Andrew W. Lo, and Richard Thakor. Review of Finance. Forthcoming. SSRN Preprint.

"Use of Bayesian Decision Analysis in the Design of Patient-Centered Clinical Trials for Kidney Failure Devices."

Ben Chaouch, Zied, Qingyang Xu, ... and Andrew W. Lo et al. Computers in Biology and Medicine Vol. 198, No. Part B (2025): 111150.

"Performance Attribution for Portfolio Constraints."

Lo, Andrew W., and Ruixun Zhang. Management Science Vol. 71, No. 9 (2025): 7537-7559. SSRN Preprint.

"The Evolution of Discrimination Under Finite Memory Constraints."

Lo, Andrew W., Ruixun Zhang, and Chaoyi Zhao. Scientific Reports Vol. 15, (2025): 31774.

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Why AI can be trusted with poetry but not protecting your wealth?

Professor Andrew W. Lo argues that today's AI chatbots are fundamentally unsuited to serve as financial advisers. In his view, they resemble "digital sociopaths," fluent and convincing, yet lacking empathy and moral judgment. Even so, Lo believes large language models could eventually become valuable tools — particularly for small investors with limited experience.

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Press Harvard Law School Forum on Corporate Governance and Financial Regulation

The risk, reward, and asset allocation of nonprofit endowment funds

Professor Andrew W. Lo, senior lecturer Egor Matveyev, and co-author wrote: "In our paper, we compile the first comprehensive dataset covering the full universe of U.S. nonprofit endowments. Using IRS Form 990 filings from 2008 to 2020, we study nearly 375,000 nonprofit organizations, including about 40,000 that maintain endowment assets. We combine detailed investment disclosures on Schedule D with governance, compensation, and financial information on the main form to examine how endowment strategy and performance relate to organizational structures and oversight practices."

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