Applications in Healthcare and Medicine

The best test of any method is practice. I apply my methodology in hospitals, pharmaceutical companies, and organizations worldwide to create safe personalized treatments for pediatric patients, optimized clinical trials for life-saving vaccines, mitigation plans for governmental restrictions, and more.

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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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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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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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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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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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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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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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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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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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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Applications in Healthcare and Medicine

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?

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

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

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

Forecasting COVID-19 and Analyzing the Effect of Government Interventions

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

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

Data-Driven Vaccine Development with Janssen

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

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

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

Michael Lingzhi Li

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