David Radke
Scholar

David Radke

Google Scholar ID: LFNtNMgAAAAJ
Chicago Blackhawks (NHL)
Artificial IntelligenceMultiagent SystemsReinforcement LearningSports Analytics
Citations & Impact
All-time
Citations
281
 
H-index
8
 
i10-index
7
 
Publications
16
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • - Publications:
  • - Presenting Multiagent Challenges in Team Sports Analytics - AAMAS 2023
  • - Adaptive Reward Sharing to Enhance Learning in the Context of Multiagent Teams - RLC 2025
  • - Simulating Tracking Data to Advance Sports Analytics Research - AAMAS 2025 Demo
  • - Dynamic Reward Sharing to Enhance Learning in the Context of Multiagent Teams - AAMAS 2025 Extended Abstract
  • - Towards a Better Understanding of Learning with Multiagent Teams - IJCAI 2023
  • - Conference Contributions:
  • - 2025: Associate Editor, Journal of Quantitative Analysis in Sports; Program Committee Member, Linköping Hockey Analytics Conference (LINHAC-25); Coordination and Cooperation in Multi-Agent Reinforcement Learning (CoCoMARL-25) at RLC
  • - 2024: Associate Editor, Journal of Quantitative Analysis in Sports; Program Committee Member, Linköping Hockey Analytics Conference (LINHAC-24); Coordination and Cooperation in Multi-Agent Reinforcement Learning (CoCoMARL-24) at RLC; Panel Moderator, CoCoMARL-24
  • - 2023: Program Committee Member, Linköping Hockey Analytics Conference (LINHAC-23)
  • - 2022: Program Committee Member, AAAI-23; Linköping Hockey Analytics Conference (LINHAC-22)
Research Experience
  • - Senior Research Scientist - Chicago Blackhawks (June 2023 - Present)
  • - Advisor, Hockey Research & Analytics - Chicago Blackhawks (September 2022 - June 2023)
  • - Research and Teaching Assistant - University of Waterloo (August 2018 - June 2023)
  • - Research Scientist Intern - Sony AI America (September 2022 - December 2022)
  • - Research Intern - Lawrence Livermore National Laboratory (June 2018 - August 2018)
  • - Undergraduate Research Assistant - UC Berkeley (May 2017 - May 2018)
Education
  • - PhD - University of Waterloo (August 2018 - June 2023)
  • - Areas: Artificial Intelligence, Multiagent Systems, Reinforcement Learning, Hockey Analytics
  • - Advisors: Kate Larson, Tim Brecht
  • - Dissertation: The Impact of Teams in Multiagent Systems
  • - B.A. - Colorado College (August 2015 - May 2018)
  • - Major: Computer Science
  • - Minor: Discrete Mathematics
  • - Advisor: Dan Ellsworth
  • - Thesis: Using Artificial Neural Networks to Predict Wildfire Spread - Top Undergraduate Research Project by the Council on Undergraduate Research
Background
  • - Research Interests: Artificial Intelligence, Multiagent Systems, Reinforcement Learning, Hockey Analytics
  • - Professional Fields: Computer Science, Discrete Mathematics
  • - Introduction: Studied how teams impact the behavior that AI agents learn. This includes studying group dynamics, emergent behavior, and game theoretical incentives in challenging environments. During graduate school, used NHL tracking data to develop new hockey analytics methods.
Miscellany
  • - Hometown: Orinda, California
  • - Citizenship: USA 🇺🇸 & Canada 🇨🇦
  • - Language: English
  • - Athletics: Alumni - Assistant Captain - University of Waterloo varsity men's ice hockey (OUA; USports). Alumni - Colorado College men's ice hockey (NCHC; NCAA Division 1)