Summary
Eric Clinch is a Quantitative Research Engineer at Citadel GQS with 11 years of software engineering experience and a strong foundation from Carnegie Mellon University. He specializes in machine learning, reinforcement learning, game theory, and optimization, applying advanced game AI techniques to robust strategy development in high-stakes domains. Prior roles include applied research at Strategy Robot—where he built imperfect-information game solutions for defense applications—and internships at Jump Trading and security-focused startups, giving him both research depth and production engineering chops. Based in Chicago, he blends theoretical rigor with practical system-building to deploy models and algorithms under real-world constraints. Colleagues know him for turning complex decision problems into actionable, optimized strategies rather than just theoretical insights.
11 years of coding experience
2 years of employment as a software developer
High school, High school at Texas Academy of Mathematics and Science
Computer Science, Computer Science, Computer Science, Computer Science at Carnegie Mellon University