Summary
Chen-yen Yang is a data scientist with a Ph.D. in Immunology and nine years of cross-disciplinary experience bridging biomedical research and machine learning. Based in San Francisco, she has driven target discovery and assay development in oncology at AbbVie while building predictive models for non-invasive cancer detection during a Data Science fellowship. Her work uniquely combines deep wet-lab expertise—flow cytometry, PDX models, CRISPR screen analysis—and practical data science skills, demonstrated by a multi-class SVM that improved early pancreatic cancer classification. She has a track record of translating complex biological data into actionable decisions, mentoring teams, and setting validation standards that accelerated lead-generation programs. Outside the lab she brings a playful curiosity (GitHub bio: "Data Science and Silly Cats") that signals a creative, hands-on approach to problem solving.
9 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Immunology, Doctor of Philosophy (Ph.D.), Immunology at University of California, Davis
Master of Science (M.S.), Microbiology and Biochemistry, Nutritional Science, Master of Science (M.S.), Microbiology and Biochemistry, Nutritional Science at National Taiwan University
Data Science Career Track Certificate, Data Science Career Track Certificate at Springboard
English, Chinese