Juan Contreras is an Assistant Professor and researcher in Santiago with a PhD in Industrial Engineering and Operational Research, specializing in convex optimization, fixed-point theory, and stochastic optimization. Over nine years of academic and research experience, he has held postdoctoral positions and visiting fellowships across Chile and France, applying conic programming and collaborative game theory to imaging and applied OR problems. His background in mathematical engineering and a master's in applied mathematics from Université Paris-Saclay underpin a rigorous blend of theory and application. Juan’s work bridges deep theoretical tools and practical modeling, often translating abstract fixed-point and convex analysis into computational methods for real-world problems. Notably, his career path shows a strong international collaboration streak, with sustained research ties to European institutions during his doctorate and postdoc years. He is now shaping the next generation of optimization researchers while continuing to publish and develop computational approaches in his fields of interest.
9 years of coding experience
2 years of employment as a software developer
Mathematical engineer, Mathematical engineering, Mathematical engineer, Mathematical engineering at Universidad de Santiago de Chile
Doctor of Philosophy - PhD, Industrial Engineering and Operational Research, Doctor of Philosophy - PhD, Industrial Engineering and Operational Research at Universidad Adolfo Ibáñez
Contributions:63 pushes, 5 branches in 5 years 9 months
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