Presented 'Fine-Grained Optimality of Partially Dynamic Shortest Paths and More' at SODA 25 [01/2025]; Presented 'Replicable Uniformity Testing' at NeurIPS 24 [12/2024]; Presented 'I/O Complexity of Attention, or How Optimal is FlashAttention' at ICML 24 [07/2024].
Research Experience
Worked as a Quantitative Analyst at Morgan Stanley's Fixed Income, Secured Lending Group for a year; Interned with the AI Infrastructure Group at Aidoc during the summer of 2019.
Education
PhD: UC San Diego's CS Theory Group, Advisors: Barna Saha and Russell Impagliazzo; Undergraduate: Princeton University in Mathematics, Advisor: Gillat Kol.
Background
Research Interests: Algorithm design, fine-grained complexity, computational complexity, and learning theory.