Anton leads the Bio-Realistic Modeling Team, which integrates data about cell types, connectivity, and neural activity to create simulations of human brain circuits as a platform for computational discovery.

Anton joined the Allen Institute in 2013 as an assistant investigator in the Modeling, Analysis, and Theory Team. He has led efforts to carry out biophysically detailed simulations of individual neurons as well as large-scale neuronal circuits from the mouse visual system. The primary focus of his research is on the integration of experimental anatomical and physiological data to build sophisticated, highly realistic computational models of brain circuits.  

Before joining the Allen Institute, he was a postdoctoral fellow at DE Shaw Research in New York, where he used a specialized supercomputing architecture to perform computational studies of structure-function relationships in proteins, with an emphasis on cancer-associated cell-surface receptors. Anton received his BS and MS in Physics from Moscow Institute of Physics and Technology and a PhD in Physics from the University of Illinois at Urbana-Champaign.