Professor, Mathematics | Member of the Graduate Faculty | Professor, Statistics-GIDP | Chair, Applied Mathematics - GIDP

I was educated in Russia M.Sc. 90, Novosibirsk State U) and Israel Ph.D. 96, Weizmann Institute) in theoretical and statistical physics, spent 96-99 as a Dicke fellow at Princeton U/Physics 1996-99) and moved to Los Alamos, NM in 1999, first as an Oppenheimer fellow and then as a staff member in Theory Division and Center for Nonlinear Studies at Los Alamos National Laboratory LANL) In January of 2019, relocated to Tucson, where I am the Chair of the Graduate InterDisciplinary Program GIDP) in Applied Mathematics and Professor of Mathematics at the UArizona. I also have an appointment with the Department of Computer Science courtesy) and is a member of the GIDP in Statistics and Data Science at UArizona. My area of current research focus is Scientific AI Sc-AI) that is AI applied to systems, networks and models in physical mainly statistical hydrodynamics) engineering mainly energy networks) and health mainly epidemiology, both viral and social) sciences. I view Sc-AI as a part of the contemporary applied mathematics. My Sc-AI includes Physics-Informed Data Science and Machine Learning. I love to use and develop, in all the theoretical and applied disciplines I work on, the Probabilistic Graphical Models as a methodology leading to efficient algorithms for solving challenging inference, learning, optimization and control problems.I was educated in Russia M.Sc. 90, Novosibirsk State U) and

machine learning, power systems, optimization, fluid dynamics, graphical models, power grids, turbulence, data analysis, physics, energy management, belief propagation, topology, algorithms, energy systems, natural gas, data-driven modeling, risk management, modeling, renewable energy integration, statistical mechanics, control systems, statistical physics, model reduction, renewable energy, ensemble control, neural networks, turbulence modeling, graph theory, optimal control, smart grids