The PhD Years

Graduate School Coursework

I maintain a list of courses I’ve taken in 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, I completed a handful of graduate courses during my undergraduate years at Berkeley. Many of these courses were critical in helping me find my way into Biostatistics. Here is a list of those courses:

Fall 2016

Spring 2017

Fall 2017

Spring 2018

Fall 2018

Spring 2019

Fall 2019

Spring 2020 (tentative)

  • Computer Science 294: Deep Unsupervised Learning (Pieter Abbeel) [auditing]
  • Statistics 272: Statistical Consulting (Philip Stark)
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Nima Hejazi
PhD Candidate in Biostatistics

My research interests lie at the intersection of causal inference and machine learning, especially as applied to the statistical analysis of complex data from observational studies and experiments in the biomedical and health sciences.

Talks