Summary
Andy Cheon is a data scientist in San Francisco with nine years of experience bridging software engineering and life sciences, and over four years focused specifically on healthcare analytics. He combines a bioengineering foundation from UC Berkeley and an MS in Data Science from USF to build production ML systems—ranging from PyTorch CNNs for image classification to Spark/AWS pipelines and R Shiny apps for clinical data exploration. At Genentech and earlier startups he has translated genomic and experimental datasets into actionable insights, including candidate gene discovery and interactive tools used by scientists. Equally comfortable in NLP, computer vision, and time-series problems, he emphasizes thoughtful data visualization and design to make models accessible to nontechnical stakeholders. A pragmatic problem solver, he has a history of shipping end-to-end solutions that improve operational processes (e.g., fan recruitment and lab data workflows) and values data science for social good.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Bioengineering, Bachelor of Science - BS, Bioengineering at University of California, Berkeley
Master of Science - MS, Data Science, Master of Science - MS, Data Science at University of San Francisco
English, Chinese