I'm a PhD student in Computer Science at Columbia University, advised by Xia Zhou, Dan Rubenstein, and Vishal Misra. I am broadly interested in computer vision, mobile systems, and security. Currently, my research aims to develop proactive technical solutions to combat deepfakes. I'm a recipient of a Columbia SEAS Presidential Distinguished Fellowship and a Amazon CAIT PhD Fellowship.
Previously, I completed my Bachelor's and Master's in Computer Science at the University of Chicago, advised by Heather Zheng at the SAND Lab.
* Denotes co-primary authors
Catch Me If You Can: Laser Tethering with Highly Mobile Targets
Proceedings of the 21st USENIX Conference on Networked Systems Design and Implementation (NSDI). 2024.
Best demo award & SRC runner-up at ACM MobiCom ’23
[paper] / [demo video] / [presentation] /
Towards a General Video-based Keystroke Inference Attack
Proceedings of the 32nd USENIX Security Symposium. 2023.
I care deeply about teaching. In addition to serving as a TA for CSEE 4119 (Computer Networks), I participate in Columbia's Teaching Development Program, a multi-year evidence-based teaching certification by the Center for Teaching and Learning, aiding PhD students in refining their pedagogical practices.
Alongside Sam Deng, I co-coordinate Columbia's Emerging Scholars Program, a peer-taught course for first and second-year students aiming to enrich their experience in introductory-level CS courses and provide exposure to the breadth of the field. Unlike typical, programming-focused intro CS courses, ESP is discussion-based and centers on group problem-solving in various CS topics, from NLP to cryptography.
I also serve as a yearly reviewer for the CS department's PhD Pre-Submission Application Review (PAR) program.
Last updated May 27, 2025.