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Holger Teichgraeber
Holger Teichgraeber

Holger Teichgraeber

Software Engineer
Door Dash
Bio

Holger Teichgraeber is an applied scientist with a passion for shaping the future of logistics and energy through machine learning and optimization.
He is a Software Engineer, Operations Research at DoorDash, where he works on the delivery platform’s assignment algorithms. He previously was a Senior Data Science Manager at electric air taxi pioneer Archer Aviation and an Operations Research Scientist at the trucking marketplace Convoy.
He received his PhD at the intersection of machine learning and optimization applied to energy systems from the Department of Energy Resources Engineering at Stanford University, where he was a Wells Family Stanford Graduate Fellow.


Last-mile Delivery Optimization in Production - An Experiment-based Framework

The assignment problem in last-mile delivery logistics platforms enables the connection of consumers, drivers, and merchants in the most efficient manner possible. The problem is solved in near-real-time and is prone to a high level of uncertainty. In this talk, we explore how to design and evolve this optimization algorithm in production. We discuss an iterative, experimentation-based framework that allows for fast iteration cycles, and highlight the framework’s advantages over the traditional approach of designing optimization algorithms through offline prototyping. We also discuss what skills in addition to traditional optimization modeling knowledge will make for a successful Operations Research Scientist in such real-time production environments.

Essential / Professional