Oliver Schulte
About Oliver Schulte
Oliver Schulte is a Director at Sportlogiq and a Professor at Simon Fraser University, specializing in machine learning models for sports analytics, particularly in ice hockey. He has contributed to various research initiatives in artificial intelligence and has supervised numerous graduate students in their academic pursuits.
Current Role at Sportlogiq
Oliver Schulte serves as the Director at Sportlogiq, a position he has held since 2019. Based in Vancouver, he focuses on integrating artificial intelligence technologies into sports analytics. His work includes developing learning agent representations specifically for ice hockey. Schulte's expertise in machine learning models enhances the analytical capabilities of the organization, contributing to a deeper understanding of player performance and game dynamics.
Academic Background and Education
Oliver Schulte studied at Carnegie Mellon University, where he earned a Ph.D. in Logic and Computation from 1992 to 1997. He also completed studies at the University of Toronto. His academic background provides a strong foundation for his research interests in machine learning and artificial intelligence, particularly as they apply to sports analytics.
Research Interests and Contributions
Schulte's research interests lie in machine learning models for sports analytics, with a specific focus on ice hockey. He has developed a context-aware approach to valuing player actions and has contributed to research papers that explore the valuation of actions, locations, and team performance in ice hockey. His work includes clustering and ranking NHL players based on location information and scoring impact.
Teaching and Supervision at Simon Fraser University
Since 2001, Oliver Schulte has held the position of Associate Professor at Simon Fraser University in Vancouver, Canada. He has also been a Professor at the same institution since 2015. In these roles, he has supervised numerous graduate students, guiding their research projects and fostering the next generation of scholars in the field of computer science.
Interdisciplinary Projects and Publications
Schulte has been involved in interdisciplinary projects that combine sports analytics and data science. His contributions to academic publications include co-authoring a paper on deep reinforcement learning in ice hockey, which focuses on context-aware player evaluation. His research output has significantly advanced the understanding of player performance metrics in the sport.