Gopal Sarma
Research Lead, Critical And Emerging Technologies at RAND
United States
Summary
🤩
Rockstar🎓
Top SchoolGopal Sarma is a physician-scientist and strategic technology leader who blends deep technical fluency with senior policy and program experience across AI, biosecurity, and life sciences. He has led interdisciplinary teams from DARPA and the White House OSTP to the Broad Institute, directing nine-figure research portfolios, co-chairing interagency frameworks for nucleic acid screening, and building a 525k-patient clinical ML cohort integrating 100+ variables. Known for translating high-level national security priorities into operational programs, he navigates complex stakeholder dynamics to drive commercialization and implementation across academia, industry, and government. Trained in applied physics (PhD, Stanford) and medicine (MD, Emory) with a BA in Mathematics from Harvard, he pairs rigorous quantitative reasoning with clinical insight. An avid classical and jazz trombonist, he brings creativity and discipline from performance into high-stakes technology leadership.
11 years of coding experience
11 years of employment as a software developer
Doctor of Medicine - MD Medicine, Doctor of Medicine - MD Medicine at Emory University School of MedicineBachelor of Arts - BA Mathematics, Bachelor of Arts - BA Mathematics at Harvard UniversityDoctor of Philosophy - PhD Applied Physics, Doctor of Philosophy - PhD Applied Physics at Stanford University
English, Telugu
Github Skills (54)
hail10
genetics10
simulation10
spark-ml10
biology10
genome10
spark10
health10
gatk10
gwas10
sequencing10
dockerfile10
bioinformatics10
genomics10
science10
Programming languages (8)
Github contributions (5)
openworm/ChannelWorm2
Aug 2018 - Aug 2018
Tools and curated datasets to build quantitative models of C. elegans ion channels
Contributions:16 commits, 13 pushes, 1 branch in 3 days
datasetionchannelselegansquantitative
gsarma/hail
Jul 2019 - Oct 2019
Scalable genomic data analysis.
Contributions:20 pushes, 2 branches, 4 tags in 3 months
scalabledata-analysispythonpipelinegenomic-data-analysis
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