Summary
Elior Segev is an artificial intelligence researcher with eight years of experience applying statistical modeling, control theory, and reinforcement learning to real-world energy challenges. With an M.Sc. from Technion and a background in physics and materials engineering, he blends rigorous theoretical insight with hands-on ML model development and optimization. Elior has applied these skills in industry roles at enSights and a stealth startup, and he has taught practical Matlab courses to engineers, showing a knack for translating complex concepts into usable tools. He is particularly focused on integrating renewable energy into power grids, combining classical control methods with modern RL approaches—an unusual mix that reflects his physicist’s problem-solving mindset. Outside work he’s an avid climber and cyclist, interests that mirror his methodical yet adventurous approach to research.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Electrical and Electronics Engineering, Master of Science - MS, Electrical and Electronics Engineering at Technion - Israel Institute of Technology
English, German, Hebrew