Barry Shang
Director Of Machine Learning at Tubi
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolBarry Shang is a Director of Machine Learning with 11 years of experience building and leading data and applied science teams across consumer products and infrastructure. He spent nearly a decade at Uber driving personalization, growth, and core funnel ML for the Rider app and now leads ML at Tubi, owning core user experiences and large-scale experimentation. Trained as a chemical engineer with a Ph.D. from UC Berkeley, he brings rigorous skills in stochastic modeling, PDEs, and simulation to production ML systems—a background that informs his statistical approach to product experimentation. Barry hires and mentors applied scientists, translating academic rigor into measurable product impact and repeated promotions. He combines deep quantitative research, hands-on engineering, and a knack for practical experimentation design that scales in high-throughput consumer environments.
11 years of coding experience
16 years of employment as a software developer
Ph.D. Chemical Engineering, Ph.D. Chemical Engineering at University of California, BerkeleyBSE Chemical Engineering, BSE Chemical Engineering at University of Michigan
Github Skills (1)
reinforcement-learning1
Github contributions (5)
bzshang/PI-AF-SDK-Basic-Samples
Nov 2015 - Nov 2015
Contributions:19 commits, 16 pushes, 1 branch in 1 day
bzshang/piwebapi-python-examples
Jun 2015 - Jun 2015
Contributions:25 commits, 21 pushes, 1 branch in 19 days
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