Tatiana Orlova

Tatiana Orlova, Ph.D., is a highly skilled data scientist and co-owner of Amper Technologies, Inc., where expertise includes developing real-time algorithms for recognizing patterns in electrical signals. Prior experience includes research at the Computational Modeling Initiative, focusing on machine learning software for predicting protein-water interactions, and a significant academic tenure at The University of Chicago, where important criteria for hydrogen bond geometry in protein structures were uncovered using linear algebra and data science techniques. Previous positions also include visiting the Mathematical Biosciences Institute and serving as a Fulbright Fellow at the University of South Carolina, where Tatiana conducted research on biological sequence alignment. Educational background includes a Ph.D. in Computer Science from the University of Chicago and a Master's degree in Mathematics from the University of South Carolina, complemented by foundational studies in Mathematics at Saratov State University.