Chris Fong is a bioinformatics software engineer and machine learning practitioner with nearly a decade of experience applying AI and algorithm development to healthcare and biomedical research. Currently at Memorial Sloan Kettering Cancer Center, he blends a PhD-level background in biomedical engineering with full-stack development skills to move models from research into clinical-grade software. His career spans roles as an algorithm engineer and ML lead across startups and research institutions, demonstrating a track record of practical signal-processing and predictive systems in biomedical contexts. Based in San Francisco, he pairs rigorous academic training with hands-on implementation, often working at the intersection of algorithms, data engineering, and translational health applications. An understated strength is his continuity across long-term projects—bringing algorithms to production over multi-year efforts rather than one-off prototypes.
9 years of coding experience
9 years of employment as a software developer
California State University, Sacramento
Doctor of Philosophy (Ph.D.) Biomedical Engineering, Doctor of Philosophy (Ph.D.) Biomedical Engineering at Columbia University
Contributions:3 releases, 51 pushes, 1 branch in 1 month
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