Iain Carmichael

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.
code11 years of coding experience
job8 years of employment as a software developer
bookBachelor of Arts (BA) Mathematics and Physics, Bachelor of Arts (BA) Mathematics and Physics at Cornell University
bookStudy Abroad Mathematics, Study Abroad Mathematics at Budapest Semesters in Mathematics
bookDoctor of Philosophy (PhD) Statistics, Doctor of Philosophy (PhD) Statistics at University of North Carolina at Chapel Hill
languagesEnglish, French
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Github Skills (163)

graph-algorithms10
parallel10
python10
network-analysis10
legaltech10
hyperparameter-optimization10
infrastructure10
deep-learning10
gpu10
graph-visualization10
ray10
gpu-acceleration10
government-data10
optimization10
graph-theory10

Programming languages (6)

RC++TeXJavaScriptJupyter NotebookPython

Github contributions (5)

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idc9/stor390

Jan 2017 - Aug 2018

Contributions:184 commits, 204 pushes, 1 branch in 1 year 7 months
pythonsciencedata-sciencemachine-learningintroduction-to-data-science
idc9/explore

Sep 2019 - Nov 2021

Contributions:1 release, 8 pushes, 1 tag in 2 years 1 month
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