Graduate school coursework

Last Updated: 18 January 2018

Here I maintain a list of courses I’ve taken related to the time I’ve spent in graduate school at UC Berkeley.

For each course listed, names of instructors are given in parentheses, wherever appropriate.


Before Graduate School

Before starting graduate school officially, I completed a small number of graduate courses during my undergraduate years at UC Berkeley. Many of these courses were foundational in helping me find my way into and through the Biostatistics PhD program. Here is a list of those courses:


Fall 2016


Spring 2017


Fall 2017


Spring 2018


Fall 2018 (tentative)

  • Computational Biology 293: Computational Biology Doctoral Seminar
  • Statistics 240: Nonparametric and Robust Methods
  • Statistics 241A: Statistical Learning Theory

Spring 2019 (tentative)

  • Statistics 241B: Advanced Topics in Learning and Decision Making
  • Statistics 272: Statistical Consulting