Summary
Jonathan Guiang is a Senior Data Scientist and PhD physicist who translates large-scale experimental data and advanced ML into real-world AI products, currently leading AI-powered nutrition features at Dexcom. With nine years of experience across LHC experiments and production ML, he built end-to-end PyTorch pipelines, novel data-movement models for exabyte-scale workflows, and DevOps solutions that improved particle-physics precision measurements. He co-founded and directed EXPAND, growing it into a top-funded UCSD program that helped 40+ underserved students secure internships, jobs, and grad placements—evidence of his blend of technical mentorship and programmatic leadership. Comfortable moving between research and product, Jonathan has shipped dashboards and pipelines (Spark, Grafana, React) used by engineers and scientists, and mentors others in applied ML and data engineering. Based in Seattle, he focuses his skills on societal challenges like healthcare, AI safety, and misinformation, pairing entrepreneurial initiative with rigorous scientific training.
9 years of coding experience
7 years of employment as a software developer
University of California, San Diego
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at UC Santa Barbara