Seb is a PhD Student in computer science at USC and his research focuses on mathematical optimization and reinforcement learning. Some of his past projects include building a high-performance distributed deep learning library, teaching 3D-printed cats to walk, and simulating quantum computers. In his spare time, Seb likes to build productivity tools. From custom plotting and document generation scripts to experiment management, his pet projects span most aspects of his everyday life. He also likes skiing and created Tooski.ch, a website dedicated to that sport. All of it in Python, naturally.