Published multiple papers in conferences such as ICML, ICLR, UAI; involved in research projects like PROVIDENCE: a flexible round-by-round risk-limiting audit.
Research Experience
Served as a teaching assistant at UCLA for courses such as Algorithms and Complexity, Fundamentals of Artificial Intelligence; at GWU for Foundations of Computing, Discrete Structures.
Education
PhD student in Computer Science at UCLA, advised by Guy Van den Broeck; BS and MS in Math and Computer Science from GWU, advised by Poorvi Vora.
Background
Research interests include tractable modeling and statistical election audits. Focuses on the minimal properties of an AI model that enable provable guarantees about its behavior, particularly in probabilistic models for marginalization.
Miscellany
Hobbies include playing Snake; proud alum of GW Men's Rowing.