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
News:
- We have 2 postdoc openings with a starting salary of $92k/year, check out topics here
- I am a recipient of the 2023 DOE Early Career Research Award
- In Oct and Nov 2023, I am co-organizing the Power Sector Transmission & Distribution Data Information Webinar Series
Previously:
- Our review on Implementation of Quantum Algorithms for Beginners in ACM Transactions on Quantum Computing received a press coverage from IEEE Spectrum, LANL news, HPC Wire, Communications of the ACM, AZO Quantum, and Science Daily
- On May 11-13 2022 , we organized and hosted the fourth edition of the Physics Informed Machine Learning workshop (PIML 2022) in Santa Fe, NM. Previously, we organized and hosted PIML 2020, PIML 2018, and PIML 2016
- Our recent PRX Quantum and PR Applied papers on sampling properties of quantum annealers received coverage from LANL Science, Technology, and Engineering highlights
- Our Physical Review X paper introducing dynamic message-passing equations for interacting epidemic processes received press coverage from Discover Magazine and LANL news
- Our IEEE Transactions on Quantum Engineering paper on error quantification of quantum annealer qubits received press coverage from LANL news, The Science Times, Phys.org, The Qubit Report, and HPC Wire
Bio:
2015-2017 Postdoctoral fellow in the Center for Nonlinear Studies, Los 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