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About Me

I am a fifth-year PhD student working with Dr. Andrew Schaefer in the Computational and Applied Mathematics Department at Rice University. My basic research interests include integer programming, convex optimization, and Markov decision processes. My applications center around health care decision-making.


  • Ph.D, Computational and Applied Mathematics, Rice University, May 2020 (expected)
  • M.A., Computational and Applied Mathematics, Rice University, May 2018
  • B.S., Applied Mathematics, Yale University, May 2015


  • Objective Selection in Cancer Treatment: An Inverse Optimization Apporach [Preprint]
  • The Gap Function: Evaluating Integer Programming Models Over Multiple Right-hand Sides [Preprint]
  • Why Greed is Often Good: Approximate and Local Submodularity [Preprint]
  • Surveillance Imaging for Patients with Head and Neck Cancer Treated with Definitive Radiotherapy: A Partially Observerd Markov Decision Process Model [To appear in Cancer]
  • Theorems of the Alternative for Conic Integer Programming [Preprint]
  • Provably Convergent Acceleration in Factored Gradient Descent with Applications in Matrix Sensing [Preprint]
  • Usefulness of Surveillance Imaging in Patients with Head and Neck Cancer who are Treated with Definitive Radiotherapy [Cancer vol. 125 num. 11]


  • Yale CEID Summer Fellowship (2015)
  • Ken Kennedy Institute Computer Science and Engineering Fellowship (2015)
  • NSF Graduate Research Honorable Mention (2016)
  • Alan Weiser Memorial Travel Award (2018)