Skip to main content

Kushal Shah, BS
PhD Candidate, Department of Biostatistics
University of North Carolina at Chapel Hill

Research areas: Precision medicine, reinforcement learning, statistical machine learning

Current Research:

  • Expert-augmented estimation of individualized treatment rules (ITRs)
  • Statistical methodology for increased-efficiency decision rule estimation in precision medicine settings with heteroscedastic data

Applied Projects:

  • Decision rule estimation to understand heterogeneous effects of continuous glucose monitoring (CGM) on patients with type 1 diabetes (T1D)
  • Multivariable prediction modeling of adverse COVID-19 outcomes in patients with inflammatory bowel disease (IBD)
  • Individualized treatment rule (ITR) estimation for patients with HER2+ breast cancer

E-mail: kushshah@live.unc.edu
LinkedIn | GitHub