Peter Xenopoulos

  • Ph.D. Candidate

Computer Science and Engineering

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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

Pomona College, 2018
Mathematics, Economics

Xenopoulos, P., Doraiswamy, H., Silva, C. (2020). Valuing Player Actions in Counter-Strike: Global Offensive. In 2020 IEEE International Conference on Big Data (Big Data). IEEE. [arxiv] [GitHub]

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