Emile Chamoun

Emile Chamoun is a dedicated professional with extensive experience in quantitative research and artificial intelligence. Currently serving as the Quantitative Research Lead for Global Quantitative Strategies at Citadel since July 2011, Emile specializes in quantitative analysis and strategy development. Prior experience includes a role as a researcher at Stanford University's Computer Vision Lab, where Emile focused on computer vision algorithms under the mentorship of Professor Andrew Ng. Emile's educational background includes a Bachelor of Science in Electrical Engineering with a concentration in Artificial Intelligence and a Master of Science in Applied Mathematics from Stanford University, followed by a Master of Science in Computer Science with a concentration in Machine Learning and Natural Language Processing from Columbia University.