Assistant Professor

Computer and Information Science

Office: Amy Gutmann Hall, 611

Research Areas

  • Foundations of Machine Learning
  • Safe and Trustworthy AI

Awards

2024: AmazonResearch Award (AWS AI)

2023: Area Chair Award (Interpretability and Analysis of Models for NLP)

2023: Best Paper, AACL-IJCNLP Conference

2020: SCSDissertation Award– Honorable Mention, Carnegie Mellon University

2020: Siebel Scholar Fellowship, Carnegie Mellon University

2017: Best Defense Paper, NeurIPS 2017 ML & Security Workshop

2013: SummerUndergraduate Research Fellowship, Carnegie Mellon University

Projects/Papers

The FIX Benchmark: Extracting Features Interpretable to eXperts
Avoiding Copyright Infringement via Large Language Model Unlearning
Data-Efficient Learning with Neural Programs

Students

PhDs:

Weiqiu You

Helen Jin

Chaehyeon Kim

Cassandra Goldberg

Davis Brown (co-advised with Hamed Hassani)

Vitoria Aquino Guardieiro (co-advised with Rajeev Alur and Lyle Ungar)