I'm a member of the Visualization, Imaging, and Data Analysis (VIDA) center, where I am supervised by Prof. Claudio Silva. My research focuses on developing machine learning and data visualization techniques for large-scale sports data. I work on problems, such as player performance evaluation and play retrieval, that are founded upon spatiotemporal trajectory and event data.
I am the developer of the csgo Python package, which is used to parse Counter-Strike: Global Offensive game files.
Research Interests: Sports Analytics, Machine Learning, Information Visualization