Stanford University


Bryan He

Researcher in Computer Science
Stanford University
[Research Statement]
[Teaching Statement]
[Diversity Statement]

About me

I am a recent PhD graduate from the Computer Science at Stanford University, advised by James Zou. I work on developing machine learning methods, along with applications in medicine and healthcare. My research is funded by the NSF Graduate Research Fellowship. Before arriving at Stanford, I received my Bachelors in Computer Science from the California Institute of Technology, where I was advised by Yisong Yue and Lakshminarayan Srinivasan.

Selected Research

[All Publications]


I was a teaching assistant at Stanford:
CS 221: Artificial Intelligence: Principles and Techniques
Spring 2018
CS 221: Artificial Intelligence: Principles and Techniques
Fall 2017
I was a teaching assistant for the following courses at Caltech:
CS 155: Machine Learning/Data Mining
Winter 2015
CS 156a: Learning Systems
Fall 2014
CS 156b: Learning Systems
Spring 2014
CS 2: Introduction to Programming Methods
Winter 2013

Open-source Contributions and Personal Projects

Implemented the CelebA, Caltech101, and Caltech256 torchvision datasets
Replication of the supervised part of Alphago (learning to select moves and predict winner using human training data)
Alphazero implementation for Connect Four