Dr. Ilya Jackson is a Postdoctoral Associate at the MIT Center for Transportation & Logistics. His research interests include but are not limited to supply chain management, applied machine learning, simulation modeling, operations research, and metaheuristics.
Dr. Jackson holds BS and MSc degrees in industrial engineering and logistics. He earned his PhD in telematics and logistics at the Transport and Telecommunication Institute, where he spent one year as an assistant professor shortly after that. The main ideas of his PhD thesis had been summarized in the paper “Neuroevolutionary approach to metamodel-based optimization in production and logistics,” which received the young researcher award in 2020. Dr. Ilya Jackson currently focuses on reinforcement learning for supply chain synchronization and domain-specific automated machine learning for supply chain management and logistics.