Hello! I’m currently a Computer Science PhD student at UC Berkeley supervised by Max Willsey. After Spring 2025, I will be taking a leave of absence to explore exciting industry opportunities. If you think I might be a good fit, please reach out!
During my PhD, I broadly focused on compilers and optimizations for high performance code. This included optimizing sparse matrix multiplication algorithms on NUMA shared-memory systems, bridging techniques between sparse computing and database query optimization, as well as experimenting with e-graphs for rewriting SSA-based intermediate representations.
In the past, I’ve worked on memory optimizations for deep learning training, as well as more general compilation techniques for machine learning via TVM (at OctoML, which was eventually acquired by NVIDIA).
I remain excited about the opportunities that optimizing compilation offer, and hope to apply my experience to industrial use-cases.