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

  • Computational Biology 293: Doctoral Seminar in Computational Biology ( Nir Yosef)
  • Statistics 260: Observational Study Design and Causal Inference ( Sam Pimentel)
  • Public Health 290: Biomedical Big Data Capstone Seminar ( Mark van der Laan and Alan Hubbard)

Fall 2018

Spring 2019

Fall 2019

Spring 2020

Fall 2020 (tentative)

Nima Hejazi
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.