I am a PhD candidate in the Department of Computer Science and Engineering at the University of Michigan working under Professor Z. Morley Mao.
My interests are in machine learning security, such as adversarial ML.
My publications can be found here and I have been a reviewer for numerous conference workshops (ICLR, ICCV, etc.) I am currently interning at Ericsson and am an early ML engineer at CloudAEye, a start-up developing intelligent cloud applications.
I obtained my Bachelor's from UC Berkeley where I worked with Professor David Wagner
and earned the undergraduate award for outstanding research. Previously, I interned at Sandia National Laboratories.
In my spare time, I engage in photography. You can see some of my portraits here and my travel photos here.
Whenever I can, I always am looking for new restaurnts to visit and you can check out my Instagram here.
I am also involved in the University of Michigan Engineering Department's Grad Vlog Project .
News!
[10/2021]: We presented two of our works at conferences: one on analyzing robustness against adverarial attacks on sensor fusion models (ICIP) and one researching backdoor attacks from a frequency persepctive (ICCV)[05/2021]: Started role as data science intern at Ericsson
[10/2020]: Started role as founding ML engineer at CloudAEye
[10/2020]: Our work on Minority Defense won best workshop paper award at ACNS 2020
[02/2020]: Serving on the Shadow PC and the Poster Committee for 2020 IEEE S&P
[11/2019]: Our work on attacking LIDAR perception was recognized by Forbes
[04/2019]: Our paper - which is the first security analysis of LIDAR-based perception in autonomous driving - was accepted into CCS 2019
[08/2018]: Started PhD at the University of Michigan
[05/2018]: Graduated from UC Berkeley with a B.A. in Computer Science. I also won the award for Outstanding Undergraduate Research!
[02/2018]: I was chosen as an RSA Security Scholar!