Mariia Vladimirova
About Mariia Vladimirova
Mariia Vladimirova is a Postdoctoral Researcher at Inria in Grenoble, France, specializing in Bayesian neural networks. She has an extensive academic background, including a PhD in Applied Mathematics from Université Grenoble Alpes and a Master's degree in Data Science.
Work at Inria
Mariia Vladimirova currently serves as a Postdoctoral Researcher at Inria in Grenoble, Auvergne-Rhône-Alpes, France, a position she has held since 2022. Prior to this role, she completed her PhD at Inria, where she focused on research from 2018 to 2022. During her time at Inria, she also worked as an Undergraduate Intern for six months in 2018. Her contributions are primarily within the Statify and Thoth teams, where she investigates the distributional properties of Bayesian neural networks.
Education and Expertise
Mariia Vladimirova has a robust educational background in mathematics and data science. She earned her Bachelor of Science in Computational and Applied Mathematics from the Moscow Institute of Physics and Technology (MIPT) from 2013 to 2017. She continued her studies at MIPT, obtaining a Master of Science in the same field from 2017 to 2019. She then pursued a Master of Science in Data Science at the National School of Computer Science and Applied Mathematics of Grenoble from 2017 to 2018. Mariia completed her Doctor of Philosophy in Applied Mathematics at Université Grenoble Alpes from 2018 to 2022.
Previous Research Experience
Before her current role at Inria, Mariia Vladimirova gained research experience as a Research Visitor at Duke University in Durham, North Carolina, United States, for two months in 2019. This experience contributed to her development as a researcher in the field of applied mathematics and data science. Her previous position as a PhD student at Inria further solidified her expertise in Bayesian neural networks and their properties.