Hao Peng is a Staff Software Engineer in the San Francisco Bay Area with 11 years of experience combining academic rigor and production software at Google. A Purdue Ph.D. candidate and CUHK alumnus, he brings deep expertise in Bayesian models—topic models and Gaussian processes—with highly cited research that informs practical systems. His background includes distributed machine learning and financial-data applications from internships at HP Labs and Alibaba, and a track record of progressing from engineer to senior and staff roles at Google. Hao also explores computational social science on GitHub, blending quantitative research instincts with large-scale engineering to turn complex probabilistic models into reliable, deployable services.
11 years of coding experience
9 years of employment as a software developer
Ph.D Computer Science, Ph.D Computer Science at Purdue University
Contributions:12 commits, 21 pushes, 1 branch in 1 year 6 months
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