Datapalooza spotlight: Katherine Evans, VP for Washington Wizards and Mystics
Updated: Nov 11, 2021
Katherine Evans will appear at Datapalooza 2021: Learning In Action on Nov. 19 as one of four panelists on Sports Analytics for Fostering Cutting-Edge Data Science and Expanding the Community, presented by the Sports Analytics Club Program (SACP).
Dr. Evans is the first woman to head an NBA analytics department. As the VP of Research & Information Systems for Monumental Basketball, she oversees the research department, supporting the Washington Wizards (NBA), Washington Mystics (WNBA), Capital City Go-Go (G League) and Wizards District Gaming (NBA 2K League).
Datapalooza is an annual conference hosted by the University of Virginia’s School of Data Science that brings together more than 500 attendees from across higher education, industry, and the greater data science community.
SACP CEO and founder Robert “Dean” Clayton will guide the Sports Analytics conversation, with the following panelists participating:
Katherine Evans, Vice President of Research and Information Systems, Monumental Basketball;
Jonathan Hay, Vice President — Data, Intelligence & Analytics, Boston Red Sox;
Paul Lockhart-Korris, Senior Manager, Business Strategy & Analytics, San Francisco 49ers;
Ben R. Shields, Senior Lecturer, MIT Sloan School of Management
Prior to joining Monumental Basketball, Dr. Evans served as the director of strategic research for the Toronto Raptors. In that role, she advised various departments, including the front office, coaching and medical departments. She oversaw the data sources to build a draft prospects database as well as build models for player projections of draft prospects. Dr. Evans was also instrumental in helping analyze methods and build models for player evaluation and on-court strategy.
“I am very excited to join Monumental Sports & Entertainment,” said Evans in June. “I am looking forward to contributing to all the Monumental Basketball teams and to helping expand their analytics capabilities.”
Dr. Evans spent two years as a data scientist with Verily Life Sciences where she helped create models predicting medication adherence and analyzed medication adherence interventions to measure causal impact. She received undergraduate and graduate degrees from Harvard University and UC Berkeley, ultimately earning a doctorate in biostatistics from Harvard.