Summary
David Chen is a Data Science Manager in San Francisco with 11 years of experience building production-grade AI and ML systems across finance, healthcare, and biotech. He currently leads enterprise GenAI and LLM strategy at KeyBank, operationalizing Copilot, Gemini, and Vertex AI while establishing MLOps, DevOps, and model governance standards. Previously he architected scalable fraud and risk pipelines at Mastercard and delivered time-series forecasting and anomaly detection in cloud-native deployments at IBM, combining hands-on model engineering with cross-functional product translation. Trained as a PhD biomedical data scientist, he has a track record of integrating multi-omics research, teaching university courses, and turning complex scientific methods into robust, auditable production workflows. Notably, he pairs academic rigor with practical leadership—mentoring teams, leading R&D pilots and patent-driven GenAI projects that bridge research and enterprise impact.
11 years of coding experience
3 years of employment as a software developer
Master's degree Biochemistry, Master's degree Biochemistry at University of Michigan
Doctor of Philosophy (PhD) Biomedical Data Science, Doctor of Philosophy (PhD) Biomedical Data Science at Dartmouth College
Bachelor's degree Double Major in Natural Sciences and Social Sciences, Bachelor's degree Double Major in Natural Sciences and Social Sciences at Pacific Lutheran University
English, Chinese, Spanish, French