Julius Vainora is an Assistant Professor at the University of Cambridge with 12 years of experience at the intersection of econometrics, networks, and machine learning. He holds a PhD in Econometrics from Universidad Carlos III de Madrid and combines rigorous academic training with practical data-analytic experience from roles at Euromonitor International. Julius’s research and teaching emphasize quantitative methods for complex networked systems, bringing modern ML tools to econometric questions. Based in Cambridge, he blends theoretical depth with applied modelling expertise, and his background in both statistics and economics enables him to translate sophisticated methods into policy-relevant insights. An understated strength is his early industry work modeling economic indicators, which informs his empirical intuition and applied research agenda.
13 years of coding experience
2 years of employment as a software developer
Charles III University of Madrid (Universidad Carlos III de Madrid)
Master's degree, Statistics (Econometrics), Master's degree, Statistics (Econometrics) at Vilniaus universitetas / Vilnius University
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