Ignacio Erazo

I am an Applied Scientist II at Amazon Fulfillment Technologies (AFT), where I create and deploy new optimization algorithms for large-scale online order planning, picking and execution on state-of-the-art robotic-assisted warehouses. I recently created an algorithm that increases pick productivity for Amazon Robotics Fulfillment Centers: it is deployed in North American and European fulfillment centers (see video), and it optimizes some very cool robots.

Before joining Amazon, I got my Ph.D. on Operations Research with a minor in Machine Learning at Georgia Tech, where I worked under the supervision of Prof. Alejandro Toriello and Prof. David Goldsman.

My research interests include the development of efficient optimization algorithms and heuristics for large-scale intelligent decision-making spawning robotics and logistics applications. I am also broadly interested in combinatorial optimization, and hybrid solution methods such as simulation-optimization and optimization enhanced with learning. My recent research has been accepted at Operations Research and the INFORMS Journal of Computing, and my current projects span robotics optimization, last-mile logistics with residential parcel lockers, subadditive dispatching under capacity constraints, and learning to configure optimization models in real time. For an updated list of research projects please visit the Publications tab.