Summary
David Yang is a Data Science Manager and senior applied scientist with a decade of industry experience building ML-driven systems for marketplace forecasting, fraud detection, personalization, and advertising at Amazon and Uber. He combines deep academic training (Ph.D. in Biostatistics) with hands-on engineering—deploying PySpark and TensorFlow Serving pipelines and fine-tuning BERT embeddings for query-campaign matching and ad personalization. His career spans startups to big tech, from co-founding a health-tech company that shipped mobile apps and drove measurable business impact to improving recommendation and forecasting systems at Stitch Fix and Uber. Known for practical Bayesian methods for uncertainty estimation and production-grade transfer learning, he blends statistical rigor with product-focused delivery. Based in San Francisco, he continues to lead teams that translate complex signals into scalable, revenue-driving ML products.
9 years of coding experience
16 years of employment as a software developer
M.S. Biomedical Engineering, M.S. Biomedical Engineering at Peking Union Medical College
Master's degree Computer Science, Master's degree Computer Science at Nankai University
University of California, Los Angeles
Chinese, English