Sam Friedman
Senior Group Leader at Broad Institute of MIT and Harvard
Cambridge, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolSam Friedman is a senior machine learning leader with 11 years of experience applying ML to clinical and genomic problems at the Broad Institute of MIT and Harvard, where he now leads clinical ML projects. His background spans academia (PhD in Computer Science) and industry, including ML roles at Apple developing image classification, 3D reconstruction, and segmentation pipelines. Sam is an active contributor to high-profile open-source genomics tooling—most notably GATK—implementing CNN-based variant scoring, training tooling, and cross-language numerical consistency fixes that bridge research and production. He focuses on translating cutting-edge models in cardiovascular genetics and psychedelics research into robust, auditable workflows for clinical impact.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The Graduate Center, City University of New York
Github Skills (15)
mask-rcnn10
bioinformatics10
keras10
faster-rcnn10
javas10
biom10
gatk10
tensorflow10
python10
data-science10
java10
ng9
genomics9
docker4
dockers4
Programming languages (4)
Github contributions (5)
broadinstitute/gatk
Oct 2017 - Aug 2021
Official code repository for GATK versions 4 and up
Role in this project:
Backend Developer & Data Scientist
Backend Developer & Data ScientistContributions:1 review, 217 commits, 26 PRs in 3 years 11 months
Contributions summary:Sam's commits primarily focus on modifications and additions related to the CNN (Convolutional Neural Network) framework for variant analysis within the GATK (Genome Analysis Toolkit) project. They implemented features for CNN scoring of variants using 1D and 2D models, developed tools for training, and for writing tensors. Significant work was done on filtering variants using tranches and improving the accuracy of model scoring, and fixing numerical consistency between python and java. The commits also include improvements and updates to the existing code and workflows.
genomesciencednaspark-mlngs
broadinstitute/ml4h
Apr 2019 - Jan 2023
Contributions:4 releases, 75 reviews, 764 commits in 3 years 10 months
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