Publications

AutoCT: Automating Interpretable Clinical Trial Prediction with LLM Agents

2025
Liu, Fengze, Haoyu Wang, Joonhyuk Cho, Dan Roth, and Andrew W. Lo (2025), AutoCT: Automating Interpretable Clinical Trial Prediction with LLM Agents, EMNLP 2025, Suzhou China, November 2025.

A father’s crusade in rare disease drug development: a case study of Elpida therapeutics and Melpida

2025
Portero, Deanna, Qingyang Xu, Aaliya Hussain, and Andrew W. Lo (2025), A Father’s Crusade in Rare Disease Drug Development: A Case Study of Elpida Therapeutics and Melpida, Orphanet Journal of Rare Diseases 20, https://doi.org/10.1186/s13023-025-03892-0.

Financing Drug Development via Adaptive Platform Trials

2025
Cho, Joonhyuk, Eugene Sorets, Shomesh Chaudhuri, Annette De Mattos, Kristin Drake, Merit E. Cudkowicz, Ricardo Ortiz, Meredith Hasenoehrl, Marianne Chase, Brittney Harkey, Sabrina Paganoni, and John Frishkopf (2025), Financing Drug Development via Adaptive Platform Trials, PLoS ONE 20 (7), e0325826, https://doi.org/10.1371/journal.pone.0325826.

Predicting Clinical Trial Duration via Statistical and Machine Learning Models

2025
Cho, Joonhyuk, Qingyang Xu, Chi Heem Wong, and Andrew W. Lo (2025), Predicting clinical trial duration via statistical and machine learning models 45, 101473. https://doi.org/10.1016/j.conctc.2025.101473.

The Evolution of Discrimination Under Finite Memory Constraints

2025
Lo, Andrew W., Ruixun Zhang, and Chaoyi Zhao (2025), The Evolution of Discrimination Under Finite Memory Constraints, Scientific Reports 15, 31774. https://doi.org/10.1038/s41598-025-17089-9.

Innovative Insurance to Improve US Patient Access to Cell and Gene Therapy

2025
Conti, Rena M., Patrick DeMartino, Jonathan Gruber, Andrew W. Lo, Yutong Sun, and Jackie Wu (2025), Innovative Insurance to Improve US Patient Access to Cell and Gene Therapy, The Milbank Quarterly 103 (1), 32-51, https://doi.org/10.1111/1468-0009.12728.

What Can Fusion Energy Learn From Biotechnology?

2024
Lo, Andrew W., and Dennis G. Whyte (2024), What Can Fusion Energy Learn From Biotechnology?, Issues in Science and Technology 40 (4), 68–70.

Applications of Portfolio Theory to Accelerating Biomedical Innovation

2024
Kumar, Neil, Andrew W. Lo, Chinmay Shukla, and Brian Stephenson (2024), Applications of Portfolio Theory to Accelerating Biomedical Innovation, Journal of Portfolio Management 51 (1), 213-236.

LLM economicus? Mapping the Behavioral Biases of LLMs via Utility Theory

2024
Ross, Jillian, Yoon Kim, and Andrew W. Lo (2024), LLM economicus? Mapping the Behavioral Biases of LLMs via Utility Theory, COLM 2024, Philadelphia, Pennsylvania, October 2024. https://doi.org/10.48550/arXiv.2408.02784.

Performance Attribution for Portfolio Constraints

2024
Lo, Andrew W., and Ruixun Zhang (2024), Performance Attribution for Portfolio Constraints, Management Science, https://doi.org/10.1287/mnsc.2024.05365.

Quantifying the Returns of ESG Investing: An Empirical Analysis with Six ESG Metrics

2024
Berg, Florian, Andrew W. Lo, Roberto Rigobon, Manish Singh, and Ruixun Zhang (2024), Quantifying the Returns of ESG Investing: An Empirical Analysis with Six ESG Metrics, Journal of Portfolio Management 50 (8), 216–238.

Can ChatGPT Plan Your Retirement?: Generative AI and Financial Advice

2024
Lo, Andrew W., and Jillian Ross (2024), Can ChatGPT Plan Your Retirement?: Generative AI and Financial Advice, Harvard Data Science Review (Special Issue 5), https://doi.org/10.1162/99608f92.ec74a002.

How to pay for individualized genetic medicines

2024
Pian, Julia M. Y., Nana Owusu, Julia Vitarello, Winston X. Yan, Andrew W. Lo, and Timothy W. Yu (2024), How to Pay for Individualized Genetic Medicines, Nature Medicine 30, 1816-1818, https://doi.org/10.1038/s41591-024-03071-x.

Generative AI from Theory to Practice: A Case Study of Financial Advice

2024
Lo, Andrew W., and Jillian Ross (2024), Generative AI from Theory to Practice: A Case Study of Financial Advice, in An MIT Exploration of Generative AI, March, https://doi.org/10.21428/e4baedd9.a1f6a281.

Paying Off the Competition: Contracting, Market Power, and Innovation Incentives (Working Paper)

2024
Li, Xuelin, Andrew W. Lo, and Richard T. Thakor (2024), Paying Off the Competition: Contracting, Market Power, and Innovation Incentives, Working Paper.