
Nina Thigpen, PhD is a machine learning scientist who builds health algorithms from wearable data, with a focus on women’s health. She led cycle and ovulation research at Oura after earlier work at Verily and X, Google’s moonshot factory, and holds a PhD in neuroscience from the University of Florida. She helps keep Nolla’s AI grounded in rigorous science.
Education
PhD, Behavioral & Cognitive Neuroscience
University of Florida
BS, Psychology, Neuroscience & Statistics
University of North Carolina Wilmington
