Quantum computing relies on a complex and fragile global supply chain. In this virtual briefing, Dr. Ilya Jackson will share his research, which identifies key dependencies, bottlenecks, and vulnerabilities across materials and firms through network analysis and simulation. His work assesses the impact of trade disruptions and proposed targeted policy actions to improve supply chain visibility, reduce concentration risk, and strengthen national resilience.
Dr. Ilya Jackson is a Research Scientist 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.
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Aug 62025
Location
Virtual
