Summary
Leonid Popryho is a machine learning researcher and applied mathematician based in Chicago with nine years of experience spanning academia, industry, and biotech AI applications. He currently advances AI and ML infrastructure as a Machine Learning Researcher at HiPerCAS Laboratory, designing scalable pipelines that automate data ingestion, retraining, evaluation, and deployment. He is pursuing a PhD at the University of Illinois Chicago and previously led AI engineering at RECEPTOR.AI, bridging research with production in a biopharmaceutical setting. His work centers on MLOps, distributed systems, and optimization, with a focus on ML-assisted optimization and active learning to accelerate EDA and design-space exploration using surrogate models. With degrees across Ukraine and Europe (Bachelors in Applied Mathematics, Masters in CS, and postgraduate Computer Engineering studies) and an industry stint as an Apple hardware intern, he combines rigorous math with hands-on ML implementation to build intelligent, self-improving systems.
9 years of coding experience
4 years of employment as a software developer
Postgraduate Degree, Computer Engineering, Postgraduate Degree, Computer Engineering at University of Illinois Chicago
Master's degree, Computer Science, Master's degree, Computer Science at Kyiv Academic University
Master's degree, Computer Science, Master's degree, Computer Science at Blekinge Institute of Technology
Igor Sikorsky Kyiv Polytechnic Institute
Ukrainian, French, English