Headshot of Lilia Maliar, standing in GC Library

The Graduate Center | The City University of New York (CUNY)
Professor of Economics

WEHIA, June 2025, Keynote Talk: “Deep Learning Classification: Modelling Discrete Labor Choice” Slides

Deep Learning for Dynamic Stochastic Models Conference, Plenary Talk, August 2025, “Deep Learning Classification: Modelling Discrete Labor Choice”, Slides

Workshop on Heterogeneous Agents Models: A Toolkit for Central Banks, Panelist, July 2025, CEMLA and Bank of Chile

In Oct., 2024, I discussed the paper of Mahdi Ebrahimi Kahou, “Spooky Boundaries at a Distance: Inductive Bias, Dynamic Models, and Behavioral Macro“, (joint with Jesus Fernandez-Villaverde, Sebastian Gomez-Cardona, Jesse Perla, Jan Rosa), at Conference on Frontiers in Machine Learning and Economics, Philadelphia Fed

In Sep. 2024, I took part in a panel  “AI in policy analysis” at “4th WE_ARE_IN” conference

In July 2024, I became an Executive Officer (Chair) of the PhD Program in Economics at the CUNY Graduate Center

From 2021 to 2024, I was a Visiting Fellow at the Hoover Institution at Stanford University

CEF2022, Plenary Talk, “Deep Learning for Solving Solving Dynamic Economic Models: Theory and Applications”, Video

EcoMod2021, Keynote Session: “Solving Dynamic Economic Models with Deep Learning: Theory and Applications”, Slides

NSF GRANT: “Artificial Intelligence and Deep Learning Solution Methods for Dynamic Economic Models” SES-1949413, Lead (collaborative with Santa Clara University), 05/01/2020-04/30/2023

ASSOCIATE EDITOR: Computational Economics,  Quantitative Economics,

SENIOR EDITOR: Oxford Research Encyclopedias of Economics and Finance (Oxford University Press)

RESEARCH FELLOW:  CEPR (Monetary Economics and Fluctuations):

FELLOW: Hoover Institution, Stanford University; CESifo Network (Macro, Money and International Finance)

ADVISER: Canadian Central Bank, Model Development Division