I’m a Senior Research Scientist at NVIDIA. I build research tooling and machine learning pipelines for large multimedia datasets. I’m interested in games, sports, and how people interact with computers.
Before NVIDIA, I led quantitative research at Novig and helped build its first low-latency sports pricing systems.
I'm Peter Xenopoulos. I'm a research scientist at , and my current interests fuse AI/ML and HCI. Previously, I led quantitative research for a sports betting exchange. My career spans a athlete investment fund, a professional sports team (go Phillies 🔔), and even a venture capital fund. I maintain the following projects:
- Boon — A Rust parser for Deadlock replays with Python bindings and a command-line interface.
- deadlock.nyc — A browser-based Deadlock replay analyzer with tick-level playback and on-device win probability predictions. It parses replays locally using Boon compiled to WebAssembly.
- Awpy — A Counter-Strike replay analytics library with a Rust parser and Python API.
- ESTA — An open esports dataset with 8.6 million player actions and 7.9 million game frames from 1,558 professional Counter-Strike replays.