James Diao
Associate Editor, NEJM AI
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolJames Diao is an aspiring physician-scientist and MD student at Harvard Medical School who blends clinical training with a decade of computational research across biomedical informatics, machine learning, and image analysis. Currently an Associate Editor for NEJM AI and a resident physician at Brigham and Women's, he scouts trials, datasets, and benchmarks to translate AI work into rigorous clinical evidence. His prior industry experience includes developing health algorithms at Apple, building AI-derived image features for cancer prediction at PathAI, and bioinformatics research at Yale, giving him fluency from wearable-sensor validation to histopathology-driven molecular inference. A Churchill Scholar with an MPhil from Cambridge and dual degrees in statistics and molecular biophysics from Yale, he pairs quantitative rigor with clinical focus and a knack for finding practical evaluation frameworks that bridge research and patient care.
9 years of coding experience
2 years of employment as a software developer
Master of Philosophy (M.Phil.), Churchill Scholar in Science Policy, Master of Philosophy (M.Phil.), Churchill Scholar in Science Policy at University of CambridgeDoctor of Medicine (M.D.), Health Sciences & Technology, Doctor of Medicine (M.D.), Health Sciences & Technology at Harvard Medical SchoolBachelor of Science (B.S.), Statistics & Data Science; Molecular Biophysics & Biochemistry, Bachelor of Science (B.S.), Statistics & Data Science; Molecular Biophysics & Biochemistry at Yale UniversityGithub contributions (5)
jamesdiao/jamesdiao.github.io
Aug 2017 - Jan 2021
Contributions:188 pushes, 1 branch in 3 years 6 months
jamesdiao/ACMG-penetrance
Oct 2016 - Aug 2017
Contributions:75 commits, 70 pushes, 1 branch in 10 months
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