Zhuowen Zou is a fourth-year Ph.D. candidate and graduate student researcher at UC Irvine with eight years of experience spanning academic research and applied machine learning. He combines deep theoretical grounding from roles at UC San Diego and as a mathematics instructor with hands-on engineering—building C++/R tooling at Webex and delivering ML solutions for dermose. At BIASLab he focuses on research-driven ML, bridging algorithm development and real-world evaluation while mentoring and teaching across calculus and digital systems. Comfortable moving between rigorous proofs and production-quality code, he brings a proven track record of explaining complex topics clearly and translating research into practical tools.
Initial Infrastructure for Cache Simulator Project for CSE240A Spring 22 at UCSD
Contributions:7 pushes in 2 days
infrastructuresimulatorspringcachejava
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