Professor Maliar’s specialization is in macroeconomics, economic theory, game theory, numerical methods, economies in transition, and economic growth and development. In particular, his current research focuses on applications of machine learning and in particular, deep learning methods for analyzing large-scale dynamic stochastic economic models. Professor Maliar's scholarship has appeared in numerous top journals such as Econometrica, Quantitative Economics, Journal of Monetary Economics, Review of Economic Dynamics, Journal of Economic Dynamic and Control, and Journal of Business and Economic Statistics; he contributed a chapter to Handbook of Computational Economics; and is currently advising Canadian Central Bank on the model for the optimal monetary choice. He is an associate editor of Journal of Economic Dynamic and Control and a recipient of two NSF grants for 2016-2019 and 2020-2023 academic years. 

Professor Maliar is an Associate Professor of Economics at the Leavey School of Business, Santa Clara University. Previously, he was a Visiting Associate Professor in the Department of Economics at Stanford University and a Visiting Fellow for the Hoover Institution. He has taught at the University of Alicante, University of Pompeu Fabra, University of Chicago (ICE program), Baruch College and Columbia University. He also served as the Director of Graduate Studies in Economics at the University of Alicante.

Professor Maliar earned his B.S in Physics and Applied Mathematics from Moscow Institute of Physics and Technology; his M.A. in Economics from Central European University (Czech Republic); his Ph.D. in Applied Mathematics from Zaporozhye State University (Ukraine); and his Ph.D. in Economics from the University of Pompeu Fabra (Spain).