Maksim Tsvetovat
Falls Church, Virginia, United States
Summary
👤
Senior🎓
Top SchoolMaksim Tsvetovat is a founder, CEO and AI researcher with 13+ years building healthcare-focused ML products and knowledge-graph driven clinical tools that compress trial feasibility from months to minutes. He combines deep academic training (Ph.D. in Computation, Organizations and Society from Carnegie Mellon) with hands-on engineering leadership across startups, industry and government—launching mobile health platforms, advising ARPA‑H, and leading AI initiatives at Google, Humana and Johnson & Johnson. At Research Lambda he leads product and science to turn 500K+ trials, investigator networks and literature into a navigable clinical science graph; at the same time he teaches and mentors the next generation of AI practitioners as an adjunct and entrepreneurship mentor. His technical strengths span network and link analysis, multi-agent simulation, NLP and deep learning, applied to engineered social systems and health outcomes. Not obvious from titles alone: he repeatedly rescues struggling ML teams by fixing culture and delivery, translating into measurable business impact (e.g., multimillion-dollar improvements in production model performance). Based in Falls Church, VA, he blends academic rigor, product design and operational execution to pursue a moonshot: General Health AI.
13 years of coding experience
26 years of employment as a software developer
M.S., Computer Science, M.S., Computer Science at University of MinnesotaPh.D., Computation, Organizations and Society, Ph.D., Computation, Organizations and Society at Carnegie Mellon University
English, Russian
Github Skills (37)
visualization10
mysql9
postgresql9
dashboard9
analytics9
slack9
clojure9
database9
data-analysis9
data-visualization9
fastest8
sql8
metabase8
yum8
business-intelligence7
Programming languages (4)
Github contributions (5)
maksim2042/EMSE-6740
Aug 2019 - Nov 2019
Materials for EMSE-6740 Systems Thinking and Modeling
Contributions:31 commits, 26 pushes, 1 branch in 2 months
systems-thinkingsimulationsmachine-learningverificationmodeling
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