Ian Horn is a founder and seasoned ML/data science engineer in San Francisco with over a decade of experience turning statistical research into robust production systems. He has led end-to-end ML efforts across startups and established product teams—building high-precision GPS estimators, production recommender and computer vision infrastructure, contextual bandits, and NLP systems for scientific information extraction. Ian enjoys problems that blend math, statistics, and ML, with particular expertise at the intersection of causal inference and supervised learning to drive targeted interventions. He has a track record of shipping rigorous, scientist-facing tools that meet strict accuracy and evaluation requirements. Prior roles include senior positions at Stitch Fix and Elicit and an R&D patent in real-time kinematic positioning, reflecting both practical impact and deep technical foundations. Based in San Francisco with a background in applied physics, he favors creative, theory-informed engineering over one-size-fits-all solutions.
A portable C library implementing GNSS related functions and algorithms.
Contributions:78 pushes, 33 branches, 2 comments in 7 months
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