PhD student at University of California, San Diego. Advised by Dan Fu. 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, recurrent depth, 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.