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Julius Vainora is an Assistant Professor at the Faculty of Economics at the University of Cambridge. His research fields include Econometrics, Machine Learning, and Network Econometrics. Vainora has contributed to significant advancements in econometric methodology, emphasizing asymptotic theory and model specification testing. He is also known for his work on latent position-based modeling and parameter heterogeneity. Vainora has supervised PhD students focusing on high-dimensional linear regression and cluster robust inference. He actively engages in teaching econometrics courses, particularly at the MPhil level where he explores econometric methods. His work has been acknowledged through various publications in Cambridge Working Papers in Economics. Vainora maintains a personal site where he shares further insights and resources regarding his academic contributions.
University of Cambridge • Cambridge, ENG, GB
Teaching and conducting research in the fields of econometrics and machine learning.
Standard postgraduate requirements for Department of Politics and International Studies (POLIS) and related humanities departments.