Summary
Carlos Maza is an Assistant Professor at IMECC/UNICAMP with a Ph.D. in Statistics focused on financial econometrics and over a decade of experience in applied statistics and time series. His research concentrates on robust statistics, risk measures, portfolio allocation, high-dimensional volatility modeling, and statistical learning, with a practical aim of improving risk forecasting in high-dimensional settings. He develops robust-to-outlier procedures and novel methodologies tailored to real-world financial datasets, bridging theoretical advances and applied solutions. Based in São Paulo, he combines international experience as a visiting PhD student in Madrid with deep roots in Latin American statistical training. Carlos is notable for translating complex econometric models into usable tools for risk management and portfolio construction, emphasizing robustness and scalability.
11 years of coding experience
Charles III University of Madrid (Universidad Carlos III de Madrid)
Graduación en Estadística, Graduación en Estadística at Universidad Nacional Mayor de San Marcos
PhD in Statistics, Econometrics and Time Series, PhD in Statistics, Econometrics and Time Series at Universidade Estadual de Campinas
Portuguese, Spanish, English