Doctoral Student at University of California, Los Angeles
Los Angeles, California, United States
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Jonathan Chen is a doctoral student in bioengineering at UCLA with nine years of experience applying machine learning and software engineering to personalized medicine and genomics. He blends a strong academic foundation—PhD work in bioengineering and an MS/MS and BS in computer science and computational biology from Washington University—with hands-on development experience from internships and consulting roles. His research applies Gaussian process ML and active learning to neuroscience problems while creating clinician-facing software to accelerate personalized diagnosis and treatment. Jonathan has led teaching teams and course design for large data science and cloud computing classes, demonstrating both technical depth and instructional leadership. Past industry work spans full-stack and blockchain development, plus a senior software engineer internship at IBM, highlighting his versatility across backend systems, mobile apps, and smart contracts. He combines rigorous research skills with practical product-building instincts, often optimizing model training heuristics to make ML more efficient and usable in clinical settings.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Washington University in St. Louis
Doctor of Philosophy - PhD, Bioengineering and Biomedical Engineering, Doctor of Philosophy - PhD, Bioengineering and Biomedical Engineering at University of California, Los Angeles
Contributions:30 commits, 5 PRs, 24 pushes in 10 days
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Jonathan Chen - Doctoral Student at University of California, Los Angeles