About Me
I am a second-year PhD student at MIT EECS, where I am advised by Aleksander MÄ…dry.
I completed my BS double majoring in Computer Science and Math at UCLA, where I was advised by Deanna Needell and mentored by
Jamie Haddock
and Hanbaek Lyu.
My research focuses on principled ways to make machine learning models safe and robust when deployed in the real world.
During my undergrad, I worked on on applications of matrix and tensor factorization to topic modeling, computer vision, and network science.
Papers
* denotes equal contribution
Josh Vendrow, Jamie Haddock, and Deanna Needell
IEEE Int. Conf. on Acoustics, Speech, Signal Processing (ICASSP), 2022
[Proceedings] [arXiv] [Code]
Edward Vendrow, Josh Vendrow
Privacy in Machine Learning Workshop, NeurIPS, 2021 [Code]
Josh Vendrow, Jamie Haddock, Elizaveta Rebrova, Deanna Needell
IEEE Int. Conf. on Acoustics, Speech, Signal Processing (ICASSP), 2021
[Proceedings] [arXiv] [Code] [Poster] [Slides]
Lorraine Johnson, Mira Shapiro, Raphael Stricker, Josh Vendrow, Jamie Haddock, Deanna Needell
Healthcare, 2020 [Journal]