Summary
Ilya Sandoval is an AI research scientist and PhD graduate from Imperial College London with 11 years of experience applying reinforcement learning, graph neural networks and differentiable programming to real-world optimization and control problems. He combines deep academic work on neural ODEs and RL for cyber defense with hands-on industry delivery—architecting end-to-end MLOps on AWS, realtime forecasting for energy markets, and production-ready model serving. At The Alan Turing Institute he built topology-adaptive autonomous cyber-defense agents that generalize to unseen network structures, highlighting a knack for structural generalizability beyond standard benchmarks. Equally comfortable in research and production, he has driven measurable business impact (e.g., 10x contract query speedups, 20%+ route fuel savings) while pushing advanced ML methods toward deployment. Based in London, he focuses on bridging attention, GNNs and control theory into scalable systems that solve complex industrial problems.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Physics, Honours, Bachelor of Science - BS, Physics, Honours at National Autonomous University of Mexico
Doctor of Philosophy - PhD, ENGINEERING, Doctor of Philosophy - PhD, ENGINEERING at Imperial College London
English, Spanish