I am a Ph.D. candidate in the Department of Economics, Cornell University. My research focuses on the intersection of econometrics and macroeconomics, with a particular emphasis on policy-related issues. I am particularly interested in using econometric techniques, such as partial identification, time series analysis, and Bayesian inference, to inform decision-making and improve policy outcomes. My work is both theoretical and applied, and I strive to bridge the gap between the two in my research.
My advisors are Francesca Molinari (chair), Yongmiao Hong, José Luis Montiel Olea, and Kristoffer Nimark.
I will be joining the Department of Economics at the University of Manchester as a Lecturer (Assistant Professor) this August.
University of Wisconsin-Madison
Southwest Jiaotong University.
The Safety Net as a Springboard? A General Equilibrium based Policy Evaluation.
(Domenico Ferraro, Nir Jaimovich, Francesca Molinari and Cristobal Young, working paper)
Estimating the COVID-19 Infection Rate: Anatomy of an Inference Problem.
(Charles Manski and Francesca Molinari，Journal of Econometrics 2020)
Confidence Intervals for Projections of Partially Identified Parameters.
(Hiroaki Kaido, Francesca Molinari and Jorg Stoye, Econometrica 2019)