Suhail Alsalehi is a systems engineer and consultant with 8 years of interdisciplinary experience spanning systems engineering, mechatronics, CubeSat development, and strategy consulting at Bain & Company. Currently a PhD candidate at Boston University, his research bridges deep learning, reinforcement learning, optimization, and formal methods to advance control and learning for cyber-physical and bio-CPS applications. He has led AI and innovation strategy work at the Clinton Health Access Initiative and driven operations and GenAI adoption for clients in financial services and consumer sectors. A natural systems thinker, Suhail combines academic rigor with practical implementation, often approaching problems through a bespoke problem-solving framework he developed. Outside work he pursues ideas from social sciences and philosophy, and applies the same experimental curiosity to urban gardening and brewing kombucha. Open to part-time roles in strategy consulting, CTO positions at startups, or ML/control roles in larger organizations.
8 years of coding experience
1 year of employment as a software developer
BS with honors Mechatronics, BS with honors Mechatronics at Bauman Moscow State Technical University
Visiting Student Space Systems Engineering, Visiting Student Space Systems Engineering at Massachusetts Institute of Technology
MS with honors Space and Engineering Systems, MS with honors Space and Engineering Systems at Skolkovo Institute of Science and Technology
Doctor of Philosophy - PhD Systems Engineering, Doctor of Philosophy - PhD Systems Engineering at Boston University
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