Kevin Boehm
Postdoc, Computational Oncology
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolKevin Boehm is a postdoctoral computational oncologist and Radiation Oncology resident at Memorial Sloan Kettering Cancer Center, combining clinical training with machine learning research to improve cancer diagnosis and management. Trained through the Weill Cornell/Rockefeller/Sloan Kettering MD-PhD program, he leads the Pathology Data Mining team within MSK’s Cancer Data Science Initiative and focuses on digital pathology and multimodal ML using real-world clinical data. His work bridges translational research and patient care, applying computational methods to infer biologic state from routine clinical datasets. With an MSK-rooted PhD in Computational Oncology and a background in biomedical engineering from Yale, he brings eight years of experience translating complex data into clinically actionable insights. An often-overlooked strength is his dual role as both resident and scientific lead, enabling rapid iteration between algorithm development and bedside relevance.
8 years of coding experience
M.D., M.D. at Joan & Sanford I. Weill Medical College of Cornell UniversityPh.D., Computational Oncology, Ph.D., Computational Oncology at Gerstner Sloan-Kettering Graduate School of Biomedical Sciences at Memorial Sloan-Kettering Cancer CenterThomas Jefferson High School for Science and TechnologyB.S., Biomedical Engineering, B.S., Biomedical Engineering at Yale University
Github Skills (19)
mask7
object-detection6
computer-vision6
machine-learning6
pytorch6
faster-rcnn5
deep-learning5
drug-discovery4
python4
molecular-dynamics-simulation4
energy4
mask-rcnn3
jekyll-theme3
retinanet3
jekyll3
Programming languages (1)
Github contributions (5)
kmboehm/onco-fusion
May 2022 - Jan 2023
Contributions:7 commits, 2 PRs, 11 pushes in 8 months
kmboehm/kmboehm.github.io
Mar 2021 - Jun 2022
Contributions:15 pushes, 1 branch in 1 year 2 months
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