
Thesis: The Impact of Teams in Multiagent Systems
Artificial Intelligence (AI): My research involves studying how teams impact the behavior that AI agents learn. This includes studying group dynamics, emergent behavior, and game theoretical incentives in challenging environments.
Hockey Analytics: I use tracking data from the National Hockey League (NHL) to develop analytics for AI systems with the goal to quantify performance in new ways, such as passing performance and player positioning.

Thesis: Using Artificial Neural Networks to Predict Wildfire Spread" - Top Undergraduate Research Project by the Council on Undergraduate Research.


I spearhead several research projects on cutting-edge AI research. I also organize and grade for undergraduate computer science courses.
University of Waterloo
Front office advisor of analytics.
Chicago Blackhawks
Research Scientist Intern on the Game AI team.
Sony AI America
Summer research intern in the Computation department of the Lawrence Livermore National Laboratory.
Lawrence Livermore National Laboratory
I worked in a research team assessing the risk of wildland fire and coastal flooding on California's Transportation Fuel Sector.
UC Berkeley
NSERC PGS D
Ontario Graduate Scholarship (OGS) - Declined
University of Waterloo President's Graduate Scholarship (PGS)
Hawkshaw Men's Hockey Award
USports Academic All-Canadian
UWaterloo Athletic Financial Award
Ontario Graduate Scholarship (OGS)
University of Waterloo President's Graduate Scholarship (PGS)
Type 1 Cheriton Scholarship
Waterloo AI Institute Award
Ron and Lydia Glover Award
Math Domestic Graduate Award
USports Academic All-Canadian
UWaterloo Athletic Financial Award
1st Place Sportsnet Hockey Hackathon: Powered by Rogers 5G
Type 1 Cheriton Scholarship
Ron and Lydia Glover Award
Cherrey Bus Lines Award
Math Domestic Graduate Award
UWaterloo Community Service Award
USports Academic All-Canadian
UWaterloo Athletic Financial Award
Math Domestic Graduate Award
Math Domestic Graduate Scholarship
HockeyTech Hockey Award
USports Academic All-Canadian
David Radke, Kate Larson, and Tim Brecht
Autonomous Agents and Multiagent Systems (AAMAS) 2023
David Radke, Kate Larson, Tim Brecht, and Kyle Tilbury
IJCAI 2023
David Radke, Jaxin Lu, Jackson Woloschuk, Tin Le, Daniel Radke, Charlie Liu, and Tim Brecht
LINHAC 2023
David Radke and Alexi Orchard
AAMAS 2023 BlueSky
David Radke, Kate Larson, and Tim Brecht
AAMAS 2023
Alexi Orchard and David Radke
EAAI 2023
David Radke, Tim Brecht, and Daniel Radke
LINHAC 2022
David Radke, Kate Larson, and Tim Brecht
IJCAI 2022
David Radke, Kate Larson, and Tim Brecht
Adaptive and Learning Agents Workshop (ALA) at AAMAS 2022
David Radke, Daniel Radke, Tim Brecht, and Alex Pawelczyk
Artificial Intelligence for Sports Analytics (AISA), at IJCAI 2021
David Radke, Daniel Radke, and John Radke
RemoteSensing 2020
David Radke, Omid Abari, Tim Brecht, and Kate Larson
BuildSys 2020
David Radke, Anna Hessler, and Dan Ellsworth
IJCAI 2019
Refer to paper for author list.
CEC 2018