ABOUT

Academic & Professional Profile

Statistician · Econometrician · Researcher

I am a statistician and econometrician with a PhD in Statistical Sciences. My work combines methodological research, university teaching and applied quantitative analysis. I currently conduct research with CosmoFe · Ferrara Cosmology Group at the National Institute for Nuclear Physics (INFN), Ferrara Division, on statistical methodology and quantitative methods for cosmological data.

My academic background spans Statistics and Economics, with research interests in statistical inference, model selection, time series, computational statistics, robustness and reproducible quantitative methods.

Gery A. Díaz Rubio

ACADEMIC BACKGROUND

A quantitative path through Statistics and Economics

My academic training combines statistical methodology, econometrics and economic analysis, providing a foundation for both theoretical research and applied quantitative work.

PhD in Statistical Sciences

University of Bologna · 2018–2022

Research on multivariate time series, finite-sample behaviour, forecasting and model selection under misspecification, including VARX applications.

MSc in Economics and Economic Policy

University of Bologna

Training in economic analysis and macroeconometrics, including empirical research on structural and monetary-policy models.

BSc in Economics

University of Florence

Training in economics and financial econometrics, including empirical work on asset pricing and volatility models.

PROFESSIONAL TRAJECTORY

Research, teaching and applied quantitative experience

A concise overview of the main stages of my academic and professional work.

Postdoctoral Research

INFN Ferrara · CosmoFe · 2026–present

Statistical methodology for cosmological data, with emphasis on model comparison, robustness, inference and computational validation.

Research Fellowship

University of Bologna · 2023–2025

Dynamic modelling and statistical analysis of Italian football league data, combining methodological development with observational data and reproducible computation.

Doctoral Research

University of Bologna · 2018–2022

Research on multivariate time series, forecasting and model selection under misspecification.

PhD thesis →

University Teaching

University of Bologna · Free University of Bozen-Bolzano · 2014–present

Teaching across Statistics, Econometrics, Time Series, Probability, Statistical Computing and related quantitative subjects.

Controller

Ocem Energy Technology · Bologna · 2017

Financial and quantitative work in an industrial environment, including controlling, reporting and business-process support.

PROFESSIONAL INFORMATION

Memberships, languages and research computing

Professional Memberships

International Association for Statistical Computing (IASC)
Bernoulli Society
Institute of Mathematical Statistics (IMS)
Italian Statistical Society
Italian Econometric Society

Working Languages

Spanish · Native
Italian · Full professional proficiency (C1)
English · Full professional proficiency (C1)

Research Computing

R · Python · Stata
MATLAB · Julia
LaTeX · reproducible analysis and computational workflows