Getting Started with Generative AI in the Classroom
In this presentation I describe the use of AI Large Language Models to enhance teaching.
An Overview of In-Game Win Probability Models
In this presentation, in game win probability models are described. Such models are used to estimate the probability that a team with win a game or match at any point the game. Such models are used across a variety of sports. Directions for future research are provided.
The Graduate Admissions Process and Funding Opportunities in the STEM Disciplines
In this talk we describe funding and admissions processes for STEM disciplines in graduate schools in the United States (Slide deck not available for download).
In-Game Win Probability Models for Soccer
In this talk we consider in-game win probability models for soccer (football).
In-Game Win Probability Models for Canadian Football
In game win probability models are used to estimate the probability that each team in a game, at any point in a game, will ultimately win. Such models have been built for a variety of sports, however, no such models have been proposed for Canadian football. In this work in game win probability models for Canadian football are described along with several extensions.