Summary
Sam Gilmour is a Data Scientist at QuantCo with a PhD in Operations Research from MIT and ten years of experience applying mathematical modeling, optimization, and programming to real-world allocation and logistics problems. His research under Prof. Patrick Jaillet and Prof. Nikos Trichakis produced models for scarce-resource allocation (organs, housing, school admissions), policymaker interventions in network congestion games, and a novel epidemic model used to evaluate nationwide at-home COVID testing in Greece. Prior roles at DoorDash and in academia show a track record of moving from simulation and prototyping to production code, particularly for driver assignment, batching strategies, and stochastic simulation tools. Comfortable at the intersection of theory and deployment, he combines deep quantitative rigor with practical engineering—often turning complex policy questions into implementable optimization solutions.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Operations Research, Doctor of Philosophy - PhD Operations Research at Massachusetts Institute of Technology
Bachelor of Engineering (Hons.) / Bachelor of Science Conjoint Engineering Science / Computer Science / Statistics, Bachelor of Engineering (Hons.) / Bachelor of Science Conjoint Engineering Science / Computer Science / Statistics at The University of Auckland
Bachelor of Engineering (Hons.) / Bachelor of Science Engineering Science / Computer Science / Statistics, Bachelor of Engineering (Hons.) / Bachelor of Science Engineering Science / Computer Science / Statistics at University of St Andrews