Sihan Wei | Johns Hopkins University

About Me

Hey, thanks for stopping by! 👋

I am a second-year Ph.D. student in the Department of Computer Science at Johns Hopkins University, advised by Prof. Raman Arora. My research interests lie primarily at the intersection of machine learning and optimization, both in practice and theory. Previously, I worked on developing faster tensor methods for non-convex minimax optimization, especially in training GANs. Currently, I am working on understanding and improving robustness in machine learning models.

Before I came to JHU, I obtained my master’s degree in Computer Science from the University of Minnesota, Twin Cities, where I was fortunate to work with Prof. Ju Sun. Prior to that, I was an undergrad in the Electronic Information School at Wuhan University.

News

[Aug 2021] Start my new journey at JHU!

Teaching

Johns Hopkins University

Teaching Assistant, EN.601.230 - Math Foundations for Computer Science, Fall 2022
Teaching Assistant, EN.601.482/682 - Machine Learning: Deep Learning, Spring 2022

University of Minnesota, Twin Cities

Teaching Assistant, MSBA 6310 - Programming for Data Science, Fall 2020
Teaching Assistant, MABA 6311 - Programming for Business Analytics, Fall 2020.

Misc

I blog here.
I am a MOOC enthusiast. I maintain a list of all the online courses I am taking/ have taken. You can check those wonderful courses here.