Sam Finlayson
Pediatrics-Genetics Resident
Greater Seattle Area United States
Summary
👤
Senior🎓
Top SchoolSam Finlayson is a Pediatrics-Genetics resident at Seattle Children’s Hospital with 12 years of experience at the intersection of clinical medicine and quantitative biology. He holds an MD-PhD in Quantitative Biology from Harvard Medical School and brings advanced training in biomedical informatics from Stanford, combining clinical genetics expertise with deep computational skills. As an independent consultant and biomedical ML researcher he has advised tech, biotech, and pharma clients—building deep learning models, delivering AI briefings to executives, and performing novel analyses of clinical and biological datasets. He also advises OpenEvidence, signaling active engagement in translating evidence synthesis and AI into clinical tools. Colleagues would note he pairs front-line pediatric genetics work with hands-on model development, a blend that helps drive clinically meaningful computational research.
12 years of coding experience
MD-PhD, MD-PhD at Massachusetts Institute of TechnologyDoctor of Medicine - MD, Doctor of Medicine - MD at Harvard Medical SchoolBachelor of Arts (B.A.), Human Biology - Biocomputation, Bachelor of Arts (B.A.), Human Biology - Biocomputation at Stanford UniverstiyMaster of Science (M.S.), Biomedical Informatics, Master of Science (M.S.), Biomedical Informatics at Stanford University
Github Skills (40)
markdown10
sam10
python8
benchmarking8
machine-learning8
jupyterlab8
pytorch8
data-science7
jupyter7
security7
jupyterlab-extension7
tensorflow7
robustness7
deep-learning7
computational-biology6
Programming languages (7)
Github contributions (5)
sgfin/sgfin.github.io
Feb 2017 - Aug 2017
Contributions:351 pushes in 5 months
jekyll-blogjekyll-blog-themejekylljekyll-theme
sgfin/mrlu
Nov 2013 - Mar 2018
Contributions:39 commits, 4 pushes in 4 years 5 months
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