Multiple papers accepted at top conferences like NeurIPS, IJCAI, UAI; awarded Top Reviewer at UAI 2025; one paper published in TMLR 2025; involved in several research projects, including collaborations with Nina Balcan.
Research Experience
Gave talks and tutorials at multiple academic conferences and seminars; helped organize academic meetings.
Education
Completed PhD in the Computer Science Department at Carnegie Mellon University, advised by Nina Balcan.
Background
Currently an IDEAL Postdoc in Chicago. Interested in designing algorithms for machine learning with strong and provable performance guarantees.
Miscellany
Teaching a new course TTIC 31290 - Machine Learning for Algorithm Design; participated in various workshops and conferences, giving talks and presenting posters.