CV

Education

• B.S. in Computer Science, University of California Berkeley, 2021
• M.S. in Computer Science, Massachusetts Institute of Technology, 2023 (Expected)
• Ph.D. in Computer Science, Massachusetts Institute of Technology, 2026 (Expected)

Work experience

• Summer 2018: GPU Performance Modeling Intern
  • Samsung SARC
  • Designed a framework for benchmarking ML workloads on a proprietary GPU
  • Benchmarked CV/NLP workloads on said GPU
• Summer 2021: ML Research Intern
  • Apple Media Products

Publications

Predicting Memory-Based Consumer Choices From Recall and Preferences

Predicting Consumer Brand Recall and Choice Using Large-Scale Text Corpora

Checkmate: Breaking the memory wall with optimal tensor rematerialization

Self-supervised pretraining improves self-supervised pretraining

Teaching

Computer Science 70 at UC Berkeley

Service and leadership

• Former Berkeley Computer Science Undergraduate Association President/VP/Secretary-Treasurer/Internal Events Coordinator
• Former CS Mentor / TA for CS 70 at Berkeley
• Member of REFS at MIT