Director of Baseball Analytics/Research Science
Dr. Daniel Mack is in his fifth season with the Royals and third with the title of Director of Baseball Analytics/Research Science, being promoted on January 5, 2015. He was originally hired by the organization in 2013 as an Analyst in Baseball Analytics. Mack works closely with the Baseball Analytics staff to assist with quantitative research and development of analytics in support of all areas of Baseball Operations.
Prior to accepting the job with Kansas City, Mack obtained a doctorate in Computer Science from Vanderbilt University. At Vanderbilt, Mack's dissertation focused on Machine Learning and Anomaly Detection. While pursuing his doctorate, Mack worked as a research assistant at the Institute for Software Integrated Systems where he and his research group won the NASA Associate Administrator Award for Technology and Innovation for work combining machine learning with fault diagnosis.
He was also a teaching assistant while completing his master's degree in computer science with a concentration in machine learning at Columbia University in New York. Mack graduated with a bachelor's degree in computer science from the University of Notre Dame in 2006.
A native of Reno, Nev., he resides in Kansas City, Mo.