Ricardo Masini is a statistician, econometrician and data scientist . He is a Lecturer and Researcher at the Center of Statistics and Machine Learning (CSML) at Princeton University. He is also an Affiliate Professor of Economics at the São Paulo School of Economics at Getulio Vargas Foundation (EESP-FGV).
His research spans mathematical statistics, theoretical econometrics, decision science, and the statistical foundation of machine learning. As part of his research agenda, Ricardo has developed novel procedures on causal inference in a high-dimensional setup which naturally arises in the context of big data applications. He is also interested in non/semi-parametric estimation and functional data analysis.
Ricardo has been teaching data science-related subjects including statistics, probability, big data and machine learning techniques, Bayesian econometrics, and time series analysis at both the undergraduate and graduate level. He is passionate about teaching and has been doing so since high-school.
He earned a Ph.D. in Economics (with honors) in 2016 from the Pontifical Catholic University of Rio de Janeiro (PUC-Rio) and an M.Sc. in Economics in 2011 from the London School of Economics (LSE). He also completed an MBA (finance major) at INSEAD in 2008 and a B.Sc. in Aeronautical Engineering at the University of São Paulo in 2002. Before his academic experience, he spent a few years working in the aerospace industry, managerial consulting, and finance.
Ricardo is a computer programming enthusiastic and a math lover. He also enjoys TV series, movies, cooking, and a good beer (IPA). He was born and raised in Brazil. He is married to Vanessa Figaro, and they have two daughters Gabriela (born 2014) and Julia (born 2017), and a dog Seu Jorge (born 2013).