Publications

Publications & Research

Branch-and-Price for Prescriptive Contagion Analytics

A. Jacquillat, M. Rame, K. Wang, M. L. Li

Operations Research

2025

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Learning to cover: online learning and optimization with irreversible decisions

A. Jacquillat, M. L. Li

Forthcoming at Management Science

2025

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Statistical Inference for Heterogeneous Treatment Effects in Randomized Experiments

K. Imai, M. L. Li

Journal of Business and Economic Statistics

2024

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Interpretable Matrix Completion: A Discrete Optimization Approach

D. Bertsimas, M. L. Li

INFORMS Journal on Computing

2023

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Data-Driven Vaccine Development with Janssen

D. Bertsimas, M. L. Li, X. Liu, J. Xu, N. Khan

INFORMS Journal of Applied Analytics

2022

🥇INFORMS Edelman Laureate

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Ensemble Forecasts of Coronavirus Disease 2019 (COVID-19) in the US

E. L. Ray, N. Wattanachit, J. Niemi, A. H. Kanji, K. House, E. Y. Cramer, et al

Proceedings of the National Academy of Sciences

2021

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Forecasting COVID-19 and Analyzing the Effect of Government Interventions

M. L. Li, H. T. Bouardi, O. S. Lami, T. Trikalinos, N. Trichakis, D. Bertsimas

Operations Research

2021

🥇INFORMS IAAA Award

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Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Mortality in the United States

E. Y. Cramer, E. L. Ray, K. V. Lopez, J. Bracher, A. Brennen, A. J. Castro, A. Georgescu, et al

Proceedings of the National Academy of Sciences

2021

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Prescriptive Analytics for Reducing 30-day Hospital Readmissions after General Surgery

D. Bertsimas, M. L. Li, I. C. Paschalidis, T. Wang

PloS one

2020

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Pricing for Heterogeneous Products: Analytics for Ticket Reselling

M. Alley, M. Biggs, R. Hariss, C. Herrmann, M. L. Li, G. Perakis

Manufacturing & Service Operations Management

2019

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Balancing optimality and diversity: Human-centered decision making through generative curation

M. L. Li, S. Zhu

Submitted to Manufacturing & Service Operations Management

2025

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Slowly Varying Regression Under Sparsity

D. Bertsimas, O. S. Lami, V. Digalakis, M. L. Li

Operations Research

2025

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A machine learning algorithm predicting risk of dilating VUR among infants with hydronephrosis using UTD classification

H. H. S. Wang, M. L. Li, D. Cahill, J. Panagides, T. Logvinenko, J. Chow, C. Nelson

Journal of Pediatric Urology

2024

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Experimental Evaluation of Individualized Treatment Rules

K. Imai, M. L. Li

Journal of American Statistical Association

2023

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Robust Inference for Machine Learning with Observational Data

D. Bertsimas, K. Imai, M. L. Li

R&R at Journal of Machine Learning Research

2022

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Stochastic Cutting Planes for Data-Driven Optimization

D. Bertsimas, M. L. Li

INFORMS Journal on Computing

2021

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Short-term forecasting of COVID-19 in Germany and Poland during the second wave – a preregistered study

J. Bracher, D. Wolffram, J. Deuschel, J. Gorgen, J. Ketterer, A. Ullrich, et al

Nature Communications

2021

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Duration-of-stay storage assignment under uncertainty

M. L. Li, E. Wolf, D. Wintz

ICLR 2020

2020

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Selecting Children with VUR Who are Most Likely to Benefit from Antibiotic Prophylaxis: Application of Machine Learning to RIVUR

D. Bertsimas, M. L. Li, C. Estrada, C. Nelson, H. H. S. Wang

Journal of Urology

2020

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A Hierarchy of Graph Neural Networks Based on Learnable Local Features

M. L. Li, M. Dong, J. Zhou, A. M. Rush

ArXiv

2019

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Cramming Contextual Bandits for On-policy Statistical Evaluation

Z. Jia, K. Imai, M. L. Li

Submitted to Management Science

2025

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When Loss is More: Optimizing Prescription Alerts under Fatigue

M. L. Li, H. Piri

Submitted to Management Science

2025

🥇CBLS Best Paper Award

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Benchmarking large language models on cmexam-a comprehensive chinese medical exam dataset

J. Liu, P. Zhou, Y. Hua, D. Chong, Z. Tian, A. Liu, H. Wang, C. You, Z. Guo, L. Zhu, M. L. Li

Advances in Neural Information Processing Systems

2024

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Statistical Performance Guarantee for Subgroup Identification with Generic Machine Learning

K. Imai, M. L. Li

R&R at Biometrika

2023

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THEMIS: a framework for cost-benefit analysis of COVID-19 non-pharmaceutical interventions

D. Bertsimas, M. L. Li, S. Soni

Major Revision at MSOM

2022

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From predictions to prescriptions: A data-driven response to COVID-19

D. Bertsimas, L. Boussioux, R. C. Wright, A. Delarue, V. Digalakis, A. Jacquillat, D. Kitane, G. Lukin, M. L. Li, et al

Health Care Management Science

2021

🥇INFORMS Pierskalla Award

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Where to locate COVID-19 mass vaccination facilities?

D. Bertsimas, V. Digalakis, A. Jacquillat, M. L. Li, A. Previero

Naval Research Logistics

2021

🥇NRL Kuhn Award

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Fast Exact Matrix Completion: A Unified Optimization Framework for Matrix Completion

D. Bertsimas, M. L. Li

Journal of Machine Learning Research

2020

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Targeted Workup after Initial Febrile Urinary Tract Infection: Using a Novel Machine Learning Model to Identify Children Most Likely to Benefit from Voiding Cystourethrogram

H. H. S. Wang, M. L. Li, J. Dunn, D. Zhuo, D. Bertsimas, C. Estrada

Journal of Urology

2019

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Scalable Holistic Linear Regression

D. Bertsimas, M. L. Li

Operations Research Letters

2018

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Publications & Research

Branch-and-Price for Prescriptive Contagion Analytics

Learning to cover: online learning and optimization with irreversible decisions

Statistical Inference for Heterogeneous Treatment Effects in Randomized Experiments

Interpretable Matrix Completion: A Discrete Optimization Approach

Data-Driven Vaccine Development with Janssen

Ensemble Forecasts of Coronavirus Disease 2019 (COVID-19) in the US

Forecasting COVID-19 and Analyzing the Effect of Government Interventions

Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Mortality in the United States

Prescriptive Analytics for Reducing 30-day Hospital Readmissions after General Surgery

Pricing for Heterogeneous Products: Analytics for Ticket Reselling

Balancing optimality and diversity: Human-centered decision making through generative curation

Slowly Varying Regression Under Sparsity

A machine learning algorithm predicting risk of dilating VUR among infants with hydronephrosis using UTD classification

Experimental Evaluation of Individualized Treatment Rules

Robust Inference for Machine Learning with Observational Data

Stochastic Cutting Planes for Data-Driven Optimization

Short-term forecasting of COVID-19 in Germany and Poland during the second wave – a preregistered study

Duration-of-stay storage assignment under uncertainty

Selecting Children with VUR Who are Most Likely to Benefit from Antibiotic Prophylaxis: Application of Machine Learning to RIVUR

A Hierarchy of Graph Neural Networks Based on Learnable Local Features

Cramming Contextual Bandits for On-policy Statistical Evaluation

When Loss is More: Optimizing Prescription Alerts under Fatigue

Benchmarking large language models on cmexam-a comprehensive chinese medical exam dataset

Statistical Performance Guarantee for Subgroup Identification with Generic Machine Learning

THEMIS: a framework for cost-benefit analysis of COVID-19 non-pharmaceutical interventions

From predictions to prescriptions: A data-driven response to COVID-19

Where to locate COVID-19 mass vaccination facilities?

Fast Exact Matrix Completion: A Unified Optimization Framework for Matrix Completion

Targeted Workup after Initial Febrile Urinary Tract Infection: Using a Novel Machine Learning Model to Identify Children Most Likely to Benefit from Voiding Cystourethrogram

Scalable Holistic Linear Regression

Michael Lingzhi Li

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