Mark Semelhago is an experienced researcher and scientist specializing in optimization, simulation, and machine learning. Beginning as a Graduate Research Assistant at Northwestern University from September 2015 to March 2020, Mark gained foundational expertise, later contributing as a Summer Intern in the Risk Research Group at AQR Capital Management in mid-2017. Since March 2020, Mark has served as a Research Scientist at Amazon within the Supply Chain Optimization Technologies (SCOT) organization, focusing on developing practical solutions. Currently, Mark holds the position of Senior Scientist at Uber, having transitioned there in October 2025. An accomplished academic, Mark earned a Master’s Degree and a Ph.D. in Industrial Engineering and Management Sciences from Northwestern University and a Bachelor’s Degree in Engineering Science from the University of Toronto.
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