Summary
Titouan Jehl is a data-driven operations research leader and Head of Fulfilment at Lyft, with nine years of industry experience and a PhD in Operations Research from UC Berkeley. He has built and scaled matching and dispatch systems that connect drivers and riders, leading cross-functional teams across Product, Data Science, Analytics, and Engineering. His work blends rigorous academic research on dispatch algorithms with pragmatic production delivery, previously creating inventory placement algorithms at JD.com that prevent widespread order delays. Comfortable switching between optimization theory and product execution, he progressed rapidly through technical and managerial roles at Lyft, from research scientist to group product manager and now head of a core operations domain. Based in Seattle, he brings a rare combination of deep algorithmic expertise, hands-on experimentation, and large-scale operational impact. Colleagues describe him as someone who turns complex stochastic models into actionable, revenue- and reliability-improving systems.
9 years of coding experience
2 years of employment as a software developer
Master of engineering Industrial engineering and operation research, Master of engineering Industrial engineering and operation research at University of California, Berkeley
Doctor of Philosophy - PhD Operations Research, Doctor of Philosophy - PhD Operations Research at UC Berkeley College of Engineering
Master's degree Big data and entrepreneurship, Master's degree Big data and entrepreneurship at École Polytechnique
Lycée Sainte Geneviève