John leads the Wyss Institute Predictive Bioanalytics Program. In this role, John is building out a core data science and software engineering team and computational ecosystem that enables the Wyss to further our mission of disruptive innovation inspired by nature.
John has spent 20 years in a variety of industries building predictive models, apps, and platforms that empower people. He’s a successful software entrepreneur, 3x hackathon winner, patented inventor and multiple award-winning ML platform builder. He’s a 9x invited speaker to industry leading ML/AI conferences, published in top scientific journals, and 5x Head of Data Science becoming a launch/re-boot artist of data science teams and builder/scaler of data science platforms in many industries. He’s also been a trusted advisor and consultant to executives in many industries, including: banking, healthcare, insurance, software (SaaS), and even trucking.
John has a B.A. in Economics (magna cum laude), M.S. in Applied Probability and Statistics (magna cum laude), and has done additional graduate level work in Management Science, Computation, Applied Mathematics and Physics.