Email: saachij AT mit DOT edu
CV (last updated March 2023): here
Google Scholar: here
Github: @scoutsaachi
Twitter: @saachi_jain_
I am a fourth year PhD student in the EECS department at MIT, where I am advised by
Aleksander Mądry. My current research interests
are in building more robust and reliable machine learning models. In particular, my goal is to
understand how modern deep learning methods represent data and to identify the biases that they
create. In the past, I've worked on problems in graph theory and the analysis of time series data.
My research has been supported by the Two Sigma Diversity PhD Fellowship and the Apple Fellowship. I graduated with my BS/MS in Computer Science at Stanford, where I worked with
Jure Leskovec and
Matei Zaharia.
Before starting at MIT, I was a Computer Vision Scientist with
Tesla Autopilot.