Joseph Futoma is a Staff ML Data Scientist with 11 years of experience applying novel machine learning methods to large-scale physiological and behavioral time series from consumer wearables. He progressed from a PhD in Statistical Science and NDSEG-funded research at Duke to a postdoc in Harvard CS and research roles at Apple before joining ŌURA, blending rigorous probabilistic modeling with product-focused impact. His work spans academic publications and productionized models for health insights, and he has a track record of translating research into measurable improvements in user-facing systems. Based in New York, he combines deep statistical expertise with practical engineering to advance wearable-driven health analytics, often tackling noisy, irregular time series that standard tools struggle to model.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD) Statistical Science, Doctor of Philosophy (PhD) Statistical Science at Duke University
Bachelor of Arts (B.A.) Mathematics, Bachelor of Arts (B.A.) Mathematics at Dartmouth College
Contributions:2 commits, 1 push, 1 branch in 1 year 2 months
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