Daniel Otero-León

Daniel Otero-León

Postdoctoral Research Fellow

Massachusetts General Hospital

University of Virginia

Biography

I joined the MGH Institute for Technology Assessment (ITA) in August 2023 as a postdoctoral fellow working with Mohammad Jalali, Ph.D. Also, I am part of the Rising Scholars Program at the University of Virginia. I received my Ph.D. in Industrial and Operations Engineering from the University of Michigan working with Brian T. Denton, Ph.D. and Mariel S. Lavieri, Ph.D.

My research interests are generally in operations research and, more specifically, in stochastic models and stochastic dynamic programming applied to healthcare. My research is in data-driven models for improving decision-making in cardiovascular disease, cancer, mental health, and substance abuse. My work seeks to develop new frameworks for personalized medicine by developing disease prevention policies.

Interests
  • Markov Decision Processes
  • Stochastic Optimization
  • Healthcare
  • Revenue Management
Education
  • PhD in Industrial and Operations Engineering, 2023

    University of Michigan, United States

  • MSc in Industrial Engineering, 2012

    Universidad de los Andes, Colombia

  • BSc in Industrial Engineering with Mathematics Minor, 2010

    Universidad de los Andes, Colombia

Recent News

All news»

[12/24/24] New paper on Uncovering Patterns in Overdose Deaths: An Analysis of Spike Identification in Fatal Drug Overdose Data in Massachusetts, 2017-2023 published in Public Health Reports.

[07/19/24] New preprint on Who Goes Next? Optimizing the Allocation of Adherence-Improving Interventions at ArXiv.

[10/25/22] New paper on Monitoring policy in the context of preventive treatment of cardiovascular disease published in Health Care Management Science.

[10/20/22] The INFORMS Student chapter at UM received the 2022 Summa Cum Laude Student Chapter Award at the INFORMS Annual Meeting.

[02/23/22] New paper on Using Longitudinal Health Records to Simulate the Impact of National Treatment Guidelines for Cardiovascular Disease published in the 2021 Winter Simulation Conference Proceedings.

Projects

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Cardiovascular Diseases
Build stochastic models that support healthcare providers’ decisions to prevent chronic diseases
Cardiovascular Diseases
Revenue Management
Develop stochastic decision models to identify revenue oportunities in airlines
Revenue Management
Substance Abuse
Understand substance use patterns and overdose dynamics to inform prevention and intervention strategies
Substance Abuse

Recent Publications

Who Goes Next? Optimizing the Allocation of Adherence-Improving Interventions (Working Paper)
Predicting health behavior for underrepresented groups: A case study on adherence to statins (Working Paper)
Monitoring policy in the context of preventive treatment of cardiovascular disease (2022)
Using Longitudinal Health Records to Simulate the Impact of National Treatment Guidelines for Cardiovascular Disease (2021)
Optimal timing of airline promotions under dilution (2019)

Teaching Experience

 
 
 
 
 
Instructor
Aug 2021 – Dec 2021 Ann Arbor, MI, USA

Courses taught:

  • IOE 316 - Introduction to Markov Processes
 
 
 
 
 
Instructor
Aug 2012 – Dec 2021 Bogota, Colombia

Courses taught:

  • IIND 2109 - Decision Analysis Tools
  • IIND 2104 - Stochastic Modeling
  • IIND 3107 - Marketing Engineering
  • IIND 3113 - Discrete Event Simulation