Assistant Professor at University of California, San Francisco
New York City Metropolitan Area United States
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Summary
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Senior
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Top School
Iain Carmichael is an applied statistician and Neyman-trained researcher who develops statistical machine learning and optimization methods for large-scale biomedical data, with particular expertise in computational pathology and whole-slide image analysis. He combines a strong academic track record—PhD from UNC Chapel Hill, NSF postdoc at University of Washington, and postdoctoral work at Harvard Medical School—with faculty roles at Berkeley, UCSF, and UNC, bridging theory and clinical translation through close collaborations with physicians. His methodological interests span networks, multi-view data, structured sparsity, and deep learning, and he routinely implements research as production-ready software. Notably, he created UNC’s first undergraduate data science course now taken by hundreds of students, reflecting a commitment to teaching and reproducible tools. Based in the New York City area, he maintains an active research portfolio and open-source presence (github.com/idc9) that accelerates adoption of statistical tools in biomedical settings.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Arts (BA) Mathematics and Physics, Bachelor of Arts (BA) Mathematics and Physics at Cornell University
Study Abroad Mathematics, Study Abroad Mathematics at Budapest Semesters in Mathematics
Doctor of Philosophy (PhD) Statistics, Doctor of Philosophy (PhD) Statistics at University of North Carolina at Chapel Hill
Contributions:1 release, 8 pushes, 1 tag in 2 years 1 month
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