Daniel Deza is a PhD student in Operations Research and Financial Engineering at Princeton with four years of research experience bridging computer graphics, AI, and quantitative methods. He has completed summer research internships at École Polytechnique, Technion, and Osaka University, reflecting a pattern of international collaboration and rapid adaptation to new research environments. Trained as an Engineering Science graduate from the University of Toronto, he brings strong mathematical foundations to applied problems in graphics and AI. His work spans theoretical modeling and practical implementation, often combining rigorous optimization with visual computing techniques. Based in the United States but internationally experienced, he pursues multidisciplinary projects that translate advanced algorithms into compelling visual or decision-support systems. An understated strength is his ability to navigate both academic research cultures and hands-on engineering development, enabling him to move ideas quickly from concept to prototype.
4 years of coding experience
Bachelor of Applied Science - BASc, Engineering Science, Bachelor of Applied Science - BASc, Engineering Science at University of Toronto
Doctor of Philosophy - PhD, ORFE, Doctor of Philosophy - PhD, ORFE at Princeton University
ARCHIVED - KAMI Blue: a continuation of 1.12.2 KAMI
Contributions:5 pushes in 1 year 10 months
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