PhD student at the University of California, San Diego. Advised by Dan Fu and Taylor Berg-Kirkpatrick. Curious about parallel microarchitecture and ML codesign, along with scalable, efficient machine-learning architectures and tools. Slowly updating my hidden state by researching structured sparsity, looped models, and state space models.
Previously did my undergraduate at UT Austin, studying ECE. I worked with Prof. Sujay Sanghavi on a variety of core ML problems and some problems intersecting ML and systems.