I am an assistant professor at the Department of Computer and Information Science at the University of Pennsylvania. I’m also a part of the ASSET Center on safe, explainable, and trustworthy AI systems. Previously, I completed my PhD at CMU advised by Zico Kolter, and did a postdoc with Aleksander Madry.
I am looking for students! If you’re a UPenn student interested in doing machine learning research, send me an email.
I am also teaching a special topics course this Fall 2022 called 7000-05: Debugging Data and Models. Check out the course website here.
- July ‘22: I am creating a new course on debugging the ML pipeline for the Fall 2022 semester.
- May ‘22: I will be moving to UPenn CIS as an Assistant Professor starting Fall 2022
- March ‘22: I am on the organizing committee for the ICML 2022 Workshop on New Frontiers in Adversarial Machine Learning
- March ‘22: Our paper “Certified Patch Robustness via Smoothed Vision Transformers” was accepted at CVPR 2022
- January ‘22: Our paper “Missingness Bias in Model Debugging” was accepted at ICLR 2022 <!– + 10/18/21: I will be speaking as a panelist for the ATVA 2021 Workshop on Security and Reliability of Machine Learning (SRML)
- 10/12/21: I am on the organizing committee for the AAAI 2022 Workshop on Adversarial Machine Learning and Beyond
- 5/12/21: Our paper “Leveraging sparse linear layers for debuggable deep networks” was accepted for a long oral presentation at ICML 2021
- 4/7/21: I am on the organizing committee for the ICML 2021 workshop A Blessing in Disguise: The Prospects and Perils of Adversarial Machine Learning
- 1/12/21: Our paper “Learning perturbation sets for robust machine learning” was accepted for a poster at ICLR 2021
- 12/14/20: I am a main organizer for the ICLR 2021 workshop Robust and Reliable Machine learning in the Real World
- 8/1/20: I have started my postdoc at MIT with Aleksander Madry –>