Summary
Nina Zhou is a Machine Learning Scientist with 11 years of experience building end-to-end data products that blend deep learning, causal inference, and rigorous experimentation to solve business problems. Currently at Netflix after leading data science for Games and ads experimentation work at TikTok, she specializes in lift measurement, Bayesian inference, and infrastructure for robust A/B testing. Her background in biostatistics (PhD, University of Michigan) and healthcare research informs a strong foundation in causal methods, privacy-aware data tooling, and statistical rigor. She has shipped production ML features across gaming and entertainment—ranging from skill-based matchmaking and anti-cheat systems to store recommendations and player coaching algorithms. Notably, she designed patented AI coaching technology at EA and built an R package for privacy-preserving data synthesis during her academic work. Based in Sunnyvale, Nina combines applied research depth with hands-on engineering in Python, SQL, R, and Spark to move experiments from concept to measurable impact.
10 years of coding experience
10 years of employment as a software developer
Master’s Degree, Biostatistics, Master’s Degree, Biostatistics at University of Michigan - Rackham Graduate School
Bachelor of Science (B.S.), Statistics, Economics, Bachelor of Science (B.S.), Statistics, Economics at Colorado State University
Doctor of Philosophy - PhD, Biostatistics, Doctor of Philosophy - PhD, Biostatistics at University of Michigan School of Public Health
Bachelor's degree, International Economics and Trade, Bachelor's degree, International Economics and Trade at Hunan University
English, Chinese