Victor Anisimov is an Application Performance Engineer in the Argonne Leadership Computing Facility. He holds Ph.D. degree in Physical Chemistry from Institute of Chemical Physics Russian Academy of Sciences (1997), followed by 5 years of computational chemistry software development with Fujitsu where his team developed linear scaling semi-empirical quantum chemistry code LocalSCF. He performed postdoctoral work in University of Maryland at Baltimore (2003-2008) and in University of Texas at Houston (2008-2011) improving molecular dynamics methods and contributing to the CHARMM code. In the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign (2011-2019), Dr. Anisimov conducted customer support for petascale resource allocation teams on Blue Waters supercomputer, optimized various application codes, and improved the performance of coupled cluster singles and doubles code in NWChem by factor of two. He authored a textbook ​“Introduction to the Fast Multipole Method” together with Dr. James J. P. Stewart. Dr. Anisimov specializes in performance optimization of molecular modeling application codes.