Leonid joined SDSC in 2022 to design data-driven solutions for academic research projects. His research interests are in the areas of uncertainty quantification, ensemble learning, and probabilistic modeling. Leonid graduated from Moscow State University and defended his PhD at HSE University in 2021. Leonid has experience working in financial services, where he was engaged in projects related to pricing, product bundling, and uplift modeling. His recent cross-disciplinary collaborations involve applications in medicine and physics.
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