Alexej Gossmann

Principal Statistician II

Washington DC-Baltimore Area United States
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Summary

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Senior
🎓
Top School
Alexej Gossmann is a Principal Statistician with 11 years of experience applying advanced statistical methods and AI/ML to large-scale clinical datasets, now translating that expertise into real-world healthcare solutions at the Mayo Clinic Platform. Previously a Senior Staff Fellow at the FDA, he paired regulatory review of over 100 AI/ML medical device submissions with research leadership—coordinating the agency’s "Fundamental AI" sub-program and authoring 20+ publications in top venues. He is skilled at working across multidisciplinary teams to turn structured and unstructured clinical data into actionable insights, and has released open-source software to improve reproducibility in medical AI. Trained in mathematics and statistics (PhD/MSc, Tulane; BS Darmstadt), he blends rigorous theory with practical regulatory and clinical impact—an uncommon combination that helps bridge research, policy, and deployment.
code11 years of coding experience
bookTechnischen Universität Darmstadt
bookDoctor of Philosophy (PhD), Bioinnovation program, Doctor of Philosophy (PhD), Bioinnovation program at Tulane University
languagesEnglish, German, Russian
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Github Skills (109)

datasets10
fact-checking10
bluetooth10
wireless10
keyboard10
open-datasets10
sparse10
data-quality10
sparse-linear-algebra10
sparse-matrix9
firmware9
org-mode9
missing-data9
zeplin9
nrf529

Programming languages (13)

C++CTeXHTMLPerlJupyter NotebookRLua

Github contributions (5)

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agisga/grpSLOPE

Dec 2015 - May 2022

Group SLOPE (Group Sorted L1 Penalized Estimation)
Contributions:7 releases, 230 commits, 17 PRs in 6 years 5 months
estimationslopemachine-learningsorted
agisga/spitzy

Apr 2015 - Sep 2015

Contributions:69 commits, 55 pushes, 4 branches in 4 months
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