Full Name
Daniel Mack
Job Title
Assistant General Manager/Research & Development
Company
Kansas City Royals
Speaker Bio
Dr. Daniel Mack is entering his 11th season with the Royals and second as the Vice President, Assistant GM of Research & Development. In this role, Dr. Mack oversees the quantitative analysis staff and software developers to assist with evaluation across all areas of baseball operations. He has previously held titles as the Assistant General Manager of Research & Development from 2019-21, Senior Director of Quantitative Analysis/Amateur Scouting in 2018, Director of Baseball Analytics/Research Science from 2015-17 and Analyst in Baseball Analytics from 2013-14.
Prior to joining the Royals, Mack earned a doctorate in computer science from Vanderbilt University. At Vanderbilt, Mack’s dissertation focused on machine learning and anomaly detection. While pursuing his doctorate, he 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.
Mack was a teaching assistant while completing his master’s degree in computer science with a concentration in machine learning at Columbia University in New York. He graduated with a bachelor’s degree in computer science from the University of Notre Dame in 2006. A native of Reno, Nev., he now resides in Kansas City, Mo.
Prior to joining the Royals, Mack earned a doctorate in computer science from Vanderbilt University. At Vanderbilt, Mack’s dissertation focused on machine learning and anomaly detection. While pursuing his doctorate, he 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.
Mack was a teaching assistant while completing his master’s degree in computer science with a concentration in machine learning at Columbia University in New York. He graduated with a bachelor’s degree in computer science from the University of Notre Dame in 2006. A native of Reno, Nev., he now resides in Kansas City, Mo.
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