Adam VanDeusen is a PhD candidate at the University of Michigan working with Dr. Amy Cohn. His work applies operations research methods to public health policy and access to healthcare. As part of his graduate training, Adam works with the University of Michigan Center for Healthcare Engineering & Patient Safety (CHEPS).

Research Projects

Adam's research involves integrating operations research methods to evaluate healthcare access. His previous research focused on economic and decision analysis applied to global health. View Adam's research statement here

Triaging Non-Urgent Patients During COVID-19 (2020-present)

Developing models to help the VA triage colonoscopy patients under reduced capacity due to COVID-19 restrictions.

Patient Preference for Telehealth (2018-2020)

Simulation models to help specialty care providers in the VA accommodate patient preference for telehealth when determining next appointment modality.

Veteran Access to Eye Screening (2017-2020)

Designed systems to improve veteran access to screenings for chronic eye disease screenings using mixed-integer programming and facility location models. Learn more

Clincal Outcomes of Patient Alone Time (2017)

Understanding the effects of patients spending extended time alone in emergency departments. Learn more

Cost-Effectiveness of HIV Therapy for Pregnant Women in Ghana (2011-2013)

Developed a decision analytic model that incorporates clinical information into a decision tree with embedded Markov model to evaluate two therapy regimens for HIV-positive pregnant women in Ghana. Read more

Poverty & Visual Impairment from Cataract in Ghana (2011-2012)

Analyzed the relationship between visual impairment due to cataract and economic impact of subsidized treatment. This work was conducted with Unite For Sight. Read more


Adam has found teaching to be the most rewarding part of his graduate studies and looks forward to a career making a difference in the classroom.

View Adam's teaching statement here | View Adam's diversity statement here

Instructional Experience

  • University of Michigan School of Public Health
    • Operations Research and Control Systems (HMP 654), Fall 2020
    • Data Management in Health Care (HMP 553), Winter 2020
  • University of Michigan College of Engineering
    • Economic Decision-Making (IOE 201), Fall 2019 (Lead Instructor)
  • Mayo Clinic Department of Management Engineering and Internal Consulting
    • Orientation to Healthcare, 2016-2017 (Course Developer and Instructor)
  • Yale School of Public Health
    • Introduction to Statistical Thinking II (BIS 505b), Spring 2013
    • Introduction to Statistical Thinking I (BIS 505a), Fall 2012
  • Yale College/Yale Graduate School of Arts and Sciences
    • Stochastic Modeling in Decision Making (OPRS 237), Fall 2011

Additional Teaching Education