I am an assistant professor in the Department of Biostatistics at Brown University. My research focuses on:

  • Risk prediction models for time to event outcomes, mostly centered on accounting for censoring in several machine learning algorithms.
  • Adaptive enrichment designs that try to learn which sub-populations benefit from treatment.
  • Covariate adjustment for clinical trials.

Prior to joining Brown, I received my PhD from the Department of Statistical Science at Cornell University advised by Professor Rob Strawderman. From 2015-2017 I was a Postdoctoral Fellow with Professor Michael Rosenblum at Johns Hopkins University.

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