معرفی
Joshua Brault is a Senior Data Scientist at the Bank of Canada, specializing in the intersection of data science and macroeconomic modeling. He holds a Ph.D. in Economics from Carleton University (2021), an M.A. from Carleton University (2016), and a B.Sc. from Trent University (2014). His research focuses on business cycles, monetary policy, and quantitative methods, with notable contributions to dynamic stochastic general equilibrium (DSGE) model estimation and econometric techniques.
Brault's work emphasizes applying advanced computational methods, such as parallel tempering algorithms, to enhance macroeconomic model accuracy. His recent studies explore inflation dynamics, central bank policy frameworks, and granular data challenges. He has published in journals like the Journal of Money, Credit and Banking and authored Bank of Canada staff working papers on topics such as Taylor rule reliability and DSGE estimation.
His academic background includes a postdoctoral fellowship at Université du Québec à Montréal, reinforcing his expertise in structural macroeconomic analysis. Brault’s research bridges theoretical models with practical policy applications, contributing to the Bank of Canada’s understanding of economic stability and data-driven decision-making.
