Lukas Kidzinski
Co-Founder at Stanford University
Menlo Park, California, United States
Summary
👤
Senior🎓
Top SchoolLukas Kidzinski is a founder and AI researcher with 14 years of experience building applied machine learning products for healthcare and finance. He co-founded Saliency (acquired by Clario) and now leads Gosset, delivering human-verified clinical trial intelligence through proprietary extraction pipelines. At Stanford he has held research and leadership roles bridging AI, statistics, and medicine, including leading a 500+ member HealthAI community and serving as a Distinguished Postdoctoral Fellow. His work mixes deep academic rigor (PhD in Statistics) with hands-on engineering—shipping medical computer vision infrastructure and production data platforms. Based in Menlo Park, he applies AI to portfolio strategy and drug-development decisioning, a blend that reflects both quantitative depth and commercial product instincts. He also has a creative streak—co-founding DeepArt—underscoring an interest in how code shapes identity and expression.
14 years of coding experience
15 years of employment as a software developer
Stanford Ignite Entrepreneurship/Entrepreneurial Studies, Stanford Ignite Entrepreneurship/Entrepreneurial Studies at Stanford University Graduate School of BusinessPhD Statistics, PhD Statistics at Université libre de BruxellesMaster Mathematics, Master Mathematics at University of WarsawExchange student Mathematics, Exchange student Mathematics at Vrije Universiteit Brussel
English, French, Polish, German
Stackoverflow
1,613reputation
109kreached
45answers
2questions
algorithm
top-5%
cluster-analysis
top-5%
Github Skills (97)
prediction-model10
biomechanics10
kinematics10
simulator10
gymnasium10
forge10
computational-biology10
wrapping10
deep-reinforcement-learning10
conda10
reinforcement-learning-environments10
reinforcement-learning10
mocap10
physics10
simulation10
Programming languages (7)
Github contributions (5)
kidzik/freqdom
May 2017 - Apr 2022
Contributions:1 release, 35 commits, 32 pushes in 4 years 11 months
kidzik/event-detector
Sep 2017 - Aug 2021
Machine Learning model for detecting gait events in mocap data
Contributions:1 release, 18 commits, 1 PR in 4 years
eventsgaitmachine-learningdetectingprediction-model
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