I am an assistant professor at the Department of Computer and Information Science at the University of Pennsylvania, working on debugging machine learning and making systems actually do what we want them to do. 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.
PhD applicants: If you’re interested, you will need to
- Apply to the CIS department
- Select me as a potential advisor in your application.
Undergraduates/masters students: If you are a UPenn student and are interested in doing independent machine learning research, then I would recommend (1) take CIS 5200 (2) read this blog post, and (3) fill out this form. We will be in touch if there is a good fit. As a bonus, I would strongly recommend you take my special topics course, 3990-002 Mathematics for Machine Learning so that you are prepared for the mathematics behind the research. If you are not at UPenn, I do not currently have opportunities for external students.
In Fall 2023, I will be teaching a special topics course 3990-002 Mathematics for Machine Learning. See course website here. If you’re interested in doing advanced research or graduate coursework in AI/machine learning but have taken only the core math requirements of the CS degree, then this course is for you.
- October ‘23: We’ve released new blog posts on faithful grouped attributions and certified jailbreak defenses. We’ve also released new work on semantic jailbreaks
- October ‘23: I gave a talk at the UCSB Responsible Machine Learning Summit
- September ‘23: Our paper “Stability Guarantees for Feature Attributions with Multiplicative Smoothing” will be presented at NeurIPS 2023
- July ‘23: We released a new blog post on certified stability guarantees for feature attributions
- July ‘23: Our paper “Do Machine Learning Models Learn Statistical Rules Inferred from Data?” will be presented at ICML 2023
- May ‘23: I gave a keynote talk at DLSP 2023 on adversarial prompting
- Mar ‘22: I am on the organizing committee for the ICML 2023 2nd Workshop on New Frontiers in Adversarial Machine Learning
- Mar ‘23: We’ve released a new blog post covering our recent work on adversarial prompting
- Mar ‘23: We’ve released a new blog post covering our recent work on in-context influences
- Jan ‘23: I am teaching CIS 5200 Machine Learning with Surbhi Goel
- 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