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Haipeng Gao is an accoplished expert in AI/ML who is
passionate about solving large-scale, high-impact business
problems using machine learning and AI. His expertise
includes machine learning, optimization, and modern
LLM-based methods, with particular experience in (ads)
marketplace , trust and safety, and monetization domains.
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Alongside his industry work, he contributes to the AI/ML
community through teaching and technical book writing.
View published books on
Amazon.
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University of North Carolina at Chapel Hill
Ph.D. in Statistics & Operations Research, 2019
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Courant Institute of Mathematical Sciences, NYU
M.S. in Mathematics, 2015
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University of North Carolina at Chapel Hill
B.S. in Mathematics, 2012
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Indeed | Foster City, CA (remote)
Staff Machine Learning Engineer, June 2025 -
present
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LinkedIn | Mountain View, CA
Senior AI Engineer, April 2024 - June 2025
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TikTok | San Jose, CA
Machine Learning Engineer, June 2022 - April 2024
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PayPal | San Jose, CA
Senior Data Scientist, May 2019 - June 2022
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San Jose State University | San Jose, CA
Adjunct Lecturer, Department of Mathematics and
Statistics, Jan 2022 - June 2022
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University of North Carolina at Chapel Hill | Chapel Hill,
NC
Instructor, Department of Statistics and Operations
Research, Jan 2017 - Dec 2018
Awarded Department Excellence in Teaching Award,
Dec 2018
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Minimum Accepted Bids Prediction as Demand Side
Platform. LinkedIn.
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Federated Learning for Media Content Recommendation. TikTok.
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Multi-Layer Artificial Intelligence Models for
Progressive Predictions During Data Pipeline
Management. PayPal.
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Stochastic Cusp Catastrophe Model and Its Bayesian
Computations. Journal of Applied Statistics, 2021.
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Bayesian Inference for Stochastic Cusp Catastrophe Model
With Partially Observed Data. Mathematics, 2021.
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Soccer Analytics with Machine Learning: Learning
Predictive Modeling Techniques with Sports Data. O'Reilly Media, 2025. [Amazon,
O'Reilly]
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Machine Learning Engineer: Things to Know Before You
Start. [Amazon,
Apple Books]
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