Fourth-year PhD student in Machine Learning at Carnegie Mellon University
Interested in robust ML and understanding deep learning through scientific methods
Research focuses on out-of-distribution and long-tail behaviors of models
Worked on strategies for model assessment under real-world distribution shifts with limited labeled data
Recently interested in building robust agents by tracing how undesired behaviors stem from error propagation across training, inference, and interaction