Making AI Possible: Inside Baseball: How Machine Learning is Applied in an MLB Front Office

Welcome to the Making AI Possible Podcast—your monthly deep dive into the latest breakthroughs in artificial intelligence and how they’re shaping the world around us. Produced at Caltech in Pasadena, California, this series features in-depth conversations with the people driving AI innovation forward.

This podcast series features the latest AI advancements with some of the brightest minds in the field, such as groundbreaking research from AI industry leaders, labs here on campus, and the Jet Propulsion Laboratory (JPL), which Caltech manages for NASA. Discover how cutting-edge research is being applied to transform and streamline healthcare, energy, manufacturing, and finance. Tune in to discover how the latest research becomes transformative technology.

Richard Anderson is the Director of Quantitative Analysis for the Los Angeles Dodgers. He is a data scientist with a Ph.D. in Political Science from the University of Michigan. Before joining the Dodgers, he worked as a Senior Data Scientist at Warner Bros. Discovery and as the Director of Baseball Analytics for the Cincinnati Reds. He also has experience with the Los Angeles Angels and has expertise in R, Python, SQL, and stan. Richard is passionate about education, statistics, casual inference, experimentation and his dog, Ralphie. ♦

As Caltech CTME's Affiliate Director of AI Programs, Nicholas Beaudoin intersects strategic program development with hands-on curriculum design, positioning AI/ML education programs at the forefront of technological transformation. Leading the AI programs at Caltech's Center for Technology & Management Education, Nicholas' focus is on delivering impactful learning experiences tailored to a diverse clientele, including private and public sectors, as well as government and non-profit organizations.  ♦