About

I’m a first year PhD student at Columbia University, advised by Carl Vondrick. At Columbia, I am working on core challenges of computer vision and machine learning.

As an undergraduate student at Columbia, I worked on video representation learning at Columbia Computer Vision Lab. Before that, I worked at NSF-MRSEC to build a predictive model to forecast the dynamics of active nematics, advised by Pengyu Hong and Seth Fraden. I also worked at the ATLAS Experiment @ CERN on a detector assembly project with Gabriella Sciolla.

News

[Sep 2021] I started my Ph.D. in CS at Columbia University.
[June 2021] I started my research internship at Sony.
[March 2021] My first CVPR paper was accepted! Check out our website for more information.

Research Interests

My research interests include representation learning, self-supervised learning, and long-form video understanding. I have been fascinated by movies since I was a little boy, so my goal is to build perception systems that are able to process and understand an entire movie, which I believe should be achieved by learning from a large number of unlabeled videos readily available online.

Other Things

My virtual meetings are sometimes interrupted by Pattie, a 1-year-old domestic shorthair.
I like playing guitar and I’m a big fan of Dire Straits and HYUKOH.
I’m a big movie fan and most admire the work of Stanley Kubrick, Quentin Tarantino, and Lee Chang-dong.
Cycling around Manhattan is my outlet during the endless time of quarantine.