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Saumya Sinha's Homepage
Assistant Professor
Industrial & Systems Engineering
University of Minnesota - Twin Cities, Minneaspolis, MN
Office: Lind Hall 240D
LinkedIn: linkedin.com/in/sinhasaumya
Twitter: _saumyasinha_
My research focuses on sequential decision-making in uncertain and dynamic environments, motivated primarily by applications in clinical decision-making, healthcare operations, and health policy. Specifically, my interests include
For interested students:
If you are a current student at UMN and interested in research at the intersection of optimization, analytics, and healthcare, please reach out to me. I am open to both undergraduate and graduate students.
If you are a prospective student interested in joining the University of Minnesota and working with me, please apply to our PhD program and indicate my name/your interests in your application. (Direct emails to me will likely not receive a reply.)
Assistant Professor
Industrial & Systems Engineering
University of Minnesota - Twin Cities, Minneaspolis, MN
Office: Lind Hall 240D
Connect
Email: saumya@umn.eduLinkedIn: linkedin.com/in/sinhasaumya
Twitter: _saumyasinha_
About Me
I am an Assistant Professor in the Industrial & Systems Engineering (ISyE) department at the University of Minnestota (UMN) - Twin Cities. I joined UMN in Fall 2022, before which I was a postdoctoral scholar at Rice University and a visiting postdoctoral fellow at Houston Methodist Hospital, working in the areas of optimization and organ transplantation. I received my PhD in applied mathematics at the University of Washington, Seattle, where my dissertation focused on robust dynamic programming.My research focuses on sequential decision-making in uncertain and dynamic environments, motivated primarily by applications in clinical decision-making, healthcare operations, and health policy. Specifically, my interests include
Methodology
- Markov decision processes
- Robust optimization
- Multiobjective optimization
- Infinite-dimensional optimization
Applications
- Organ transplantation: outcomes, allocation mechanisms, and federal policy
- Treatment planning
- Scheduling/operations in clinical settings
For interested students:
If you are a current student at UMN and interested in research at the intersection of optimization, analytics, and healthcare, please reach out to me. I am open to both undergraduate and graduate students.
If you are a prospective student interested in joining the University of Minnesota and working with me, please apply to our PhD program and indicate my name/your interests in your application. (Direct emails to me will likely not receive a reply.)