I am a staff scientist in Theoretical Division and in the Advanced Network Science Initiative at Los Alamos National Laboratory.

My research interests lie at the intersection of statistical physics, computer science, and statistical learning. I work on methods for learning high-dimensional distributions and graphical models; for message-passing algorithms and applications in epidemiology; for learning of dynamical systems and applications in power grids; and for quantum computing.

The most reliable way of contacting me: lokhov (at) lanl.gov




2015-2017 Postdoctoral fellow in the Center for Nonlinear StudiesLos Alamos National Laboratory, Los Alamos, United States

2011-2014 PhD in statistical physics in the Laboratory of Theoretical Physics and Statistical Models at Paris-Sud University, Orsay, France
PhD thesis: Dynamic cavity method and problems on graphs, under direction of Marc Mézard

2010-2011 Master in theoretical physics at M2 CFP Physique Théorique, École Normale Supérieure, Paris, France
Master thesis: Physics of heavy flavors in QCD, under direction of Gregory Korchemsky

2008-2011 Undergraduate studies at École Polytechnique, Palaiseau, France

2005-2011 Undergraduate studies at Novosibirsk State University, Novosibirsk, Russia

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