Ryan Richt is a founder and CEO with 11+ years building multidisciplinary engineering and data science organizations that translate academic rigor into production software across genomics, agronomy, CPG planning, and consumer health. He has grown teams from handfuls to ~70 engineers and data scientists, blending type-level and functional programming, Bayesian methods, distributed systems, and mechanistic biological models to solve high-impact problems at startup and enterprise scale. His current venture, BODYSIM, applies a physics- and biomarker-driven digital twin to personalize fitness and nutrition, while prior work at CiBO and Monsanto delivered planetary-scale crop models and next-generation genomics platforms. An MBA who leverages formal methods in game theory and strategy, Ryan is equally hands-on in algorithms, probabilistic modeling, and developer tooling, and is known for deliberately engineering cultures that prioritize scientific rigor, exponential personal growth, and explainable AI. Less obvious: he routinely frames product problems as formal, multidisciplinary research questions—turning catalogs of academic causes into practical, auditable software decisions.
11 years of coding experience
7 years of employment as a software developer
MBA Strategy Operations, MBA Strategy Operations at Washington University in St. Louis - Olin Business School
S19, S19 at Y Combinator
BA Mathematics, BA Mathematics at Washington University in St. Louis
GeoJSON object, spray-json formats, and basic Geo/Geometry
Contributions:7 commits, 19 pushes, 1 issue in 26 days
spray-jsontopojsongeosprayformats
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