Edward Huang
Machine Learning Engineer at Google
California, United States
Summary
👤
Senior🎓
Top SchoolEdward Huang is a Machine Learning Engineer with a decade of experience applying AI/ML, LLMs, and reinforcement learning to search and ads quality problems, currently focusing on geo-targeting at Google. His background blends industry research roles at DeepMind and Apple with interdisciplinary academic work at Berkeley, NASA Ames, and the Santa Fe Institute, where he produced award-winning research on astronaut cancer risk and algorithmic information theory. He has hands-on experience taking models from research to production and improving code performance dramatically (one project yielded a 6,000% runtime improvement). A former UC Regents board member, he brings policy-facing communication experience alongside technical depth and an Erdős number of 4, reflecting active engagement with mathematical research. Based in California, he pursues research interests at the intersection of math, CS, and biology and maintains open-source code that supported his academic projects.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Arts - BA, Applied Mathematics, Bachelor of Arts - BA, Applied Mathematics at University of California, BerkeleyThe University of Hong Kong (HKU)
English, ChineseProgramming languages (2)
Github contributions (5)
hawaiiDimensions/db
Feb 2016 - Jul 2017
Contributions:175 pushes, 4 comments, 10 issues in 1 year 5 months
eghuang/cv
Aug 2018 - Feb 2025
Contributions:18 pushes in 6 years 6 months
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