Summary
Sasha Petrenko is a research-focused machine learning scientist and Research Assistant Professor at Missouri S&T with a decade of experience bridging aerospace engineering and adaptive AI. He specializes in lifelong and multimodal learning, meta-learning, Adaptive Resonance Theory, and adaptive dynamic programming, translating theory into FPGA-enabled, real-world systems from his co-op work at Sandia and Ball Aerospace. Sasha’s trajectory spans numerical wave-propagation simulations with GPU acceleration to deploying model-based designs on Zynq SoCs, demonstrating a rare combination of algorithmic depth and embedded-systems pragmatism. Fluent in Russian and French, he pairs rigorous academic research with creative pursuits—jazz guitar, classical piano, and electronic music production—which often inform his interdisciplinary approach to problem solving.
10 years of coding experience
10 years of employment as a software developer
BS Aerospace Engineering, Aerospace Engineering, BS Aerospace Engineering, Aerospace Engineering at Missouri University of Science and Technology