Chris Haddad is a results-driven and passionate machine learning specialist with over 9 years of experience in the healthcare and life science industries. He has worked on a variety of projects, including predictive analytics, payer life science work, full-stack data science development, and generative AI. He began his career as a machine learning engineer at Allscripts, a large electronic health records company. He developed algorithms to predict patient risk of readmission, identify high-cost patients, and optimize clinical workflows. He then moved to a community-based health services provider where he led a team of data scientists in developing a full-stack data science solution to improve patient outcomes. In his most recent role at McKinsey & Company, he led a team of machine learning engineers in developing and deploying predictive models that have saved healthcare payers millions of dollars. Chris is now a Senior Health ML Solutions Architect at Amazon Web Services, where he helps healthcare and life science companies adopt generative AI. Generative AI can be used to generate new drug molecules, design clinical trials, or create personalized patient experiences.