Summary
Luke Volpatti is a quantitative researcher at Citadel with nine years of software and research experience spanning high-frequency trading, autonomous vehicles, and large-scale ML systems. He combines a strong academic foundation from University of Toronto, ETH Zürich, and Stanford research in electrical engineering and convex optimization with hands-on engineering at Microsoft, Lyft, and Autodesk. At Lyft he built LiDAR drivers and sensor-monitoring services; at Microsoft he shipped ML-driven knowledge extraction now visible in English Bing; at Citadel he applies those skills to quantitative research and production-grade software. Known for bridging hardware-aware systems and data-driven algorithms, he brings a rare mix of sensor/robotics intuition and convex optimization expertise to trading-model development.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Applied Science - BASc, Computer Engineering, cGPA: 3.92/4.00, Bachelor of Applied Science - BASc, Computer Engineering, cGPA: 3.92/4.00 at University of Toronto
Master of Electrical Engineering and Information Technology, Master of Electrical Engineering and Information Technology at ETH Zürich
Visiting Student Researcher, Electrical Engineering, Visiting Student Researcher, Electrical Engineering at Stanford University
French, Spanish, German