Grace Luo is a PhD student and graduate researcher at Berkeley AI Research (BAIR) with a decade of engineering experience building and researching AI systems. Advised by Professor Trevor Darrell, she blends deep academic work in artificial intelligence with hands-on industry research and software engineering from internships and roles at Google, Descript, and Intel. Her background spans from frontend leadership and CTO responsibilities in student tech organizations to scalable ML systems, and she has taught introductory machine learning at UC Berkeley. Based in the San Francisco Bay Area, Grace is fluent at moving ideas from prototypes to research-grade implementations and often works at the intersection of applied ML and production software. An understated strength is her track record of shifting between product-focused engineering and rigorous research, enabling practical, deployable AI innovations.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at University of California, Berkeley
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