About

Mariia Vladimirova is a highly skilled postdoctoral researcher at Inria Grenoble Rhône-Alpes, currently working in the Statify and Thoth teams. With a PhD in Applied Mathematics from Université Grenoble Alpes, Mariia's research focuses on the distributional properties of Bayesian neural networks. She has gained valuable insights into deep learning techniques through her work, and is able to apply this knowledge to her current research projects. Mariia has extensive experience in the field of research, having previously worked as a PhD student at Inria and as an undergraduate intern at the same organization. She has also completed two Master of Science degrees, one in Data Science from the National School of Computer Science and Applied Mathematics of Grenoble and the other in Computational and Applied Mathematics from the Moscow Institute of Physics and Technology (State University) (MIPT). Additionally, Mariia holds a Bachelor of Science degree in Computational and Applied Mathematics from MIPT. Mariia has a strong technical skillset, with expertise in research, neural networks, and deep learning. Her relevant experience in the field amounts to 0.69 years, which she has gained through her work as a postdoctoral researcher. Mariia is a driven and dedicated individual who is committed to advancing the field of deep learning through her research. She is passionate about exploring the distributional properties of Bayesian neural networks and is constantly seeking new insights and approaches to her work.