Summary
Patrick Emedom-nnamdi is a biostatistics PhD candidate-turned-founder and CEO who builds ML-driven digital phenotyping tools to turn smartphone data into actionable clinical intelligence. With 11 years of experience spanning academic research at Harvard and practical stints at DeepMind and children's health centers, he develops reinforcement learning and latent state-space methods to optimize post-operative recovery and remote patient monitoring. Backed by a Harvard Prize Fellowship, T32 Cancer Training Grant, and early-stage investors including Jeff Dean, he blends rigorous statistical methodology with product-first entrepreneurship at Olira. He has taught deep learning and statistical methods at Harvard, led translational research on infectious disease and transplant epidemiology, and briefly held a Blavatnik Fellowship in life science entrepreneurship. Unusually for a founder, he pairs hands-on Bayesian/MCMC and AWS cluster experience from his early career with current work translating passive mobility and activity signals into predictive clinical metrics.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Biostatistics, Doctor of Philosophy - PhD Biostatistics at Harvard University
Seton Hall Preparatory School
Bachelor of Arts (BA) Mathematical Biology | Minor: Mathematics | Spanish Language Certificate, Bachelor of Arts (BA) Mathematical Biology | Minor: Mathematics | Spanish Language Certificate at University of Pennsylvania
Igbo, Spanish, English