David has over 20 years of experience building and leading highly engaged data science teams, with numerous successes envisioning and integrating innovative analytics that transform decision making in tech, pharma and insurance.

David has led advanced analytics for multi-billion dollar organizations in life sciences and financial services.

Prior to Canary, David was Chief Data Officer, Senior Vice President at Medidata where he was recruited by the CEO and the President to create a new data science and AI value proposition for its leading SaaS platform in clinical trials. Prior to that, he was a VP of Science at AIG, where he built predictive models for a range of property and casualty insurance risks, and a Statistical Analyst for Mercer Consulting where he helped build a data engineering system to convert transactional databases to analytic databases for modeling; he developed data standards and SAS algorithms with economists and data engineers.

David holds a Bachelor of Science in biometry & statistics from Cornell University and a Master of Arts in statistics from Columbia University.