Andrea Vanessa Rocha
Biography
Andrea Rocha is a research specialist in statistics at KAUST, working with the Stochastic Processes and Applied Statistics group. Before joining KAUST, she was an associate professor in the Department of Scientific Computing at the Federal University of Paraíba (UFPB), Brazil, where she also held various academic and coordination roles over nearly 15 years.
Her academic background includes a Ph.D. in Computational Mathematics, an M.Sc. in Statistics, and a B.Sc. in Statistics, all from the Federal University of Pernambuco (UFPE). Her doctoral and master’s work was supervised by Professor Andrei Toom.
Andrea’s research bridges theory and application in computational statistics, with a focus on probabilistic modeling, regression analysis, and stochastic processes. She has authored several publications in international journals and co-authored academic books on probability and random processes.
Research Interests
Andrea’s research lies at the intersection of computational mathematics, statistical inference, and applied probability. Her main areas of interest include:
- Statistical modeling of complex data using Bayesian methods
- Machine learning techniques for regression and classification
- Probabilistic simulation and stochastic processes
- Diagnostic and influence analysis in regression models
- Dispersion models and beta regression
She has contributed to the theory and application of statistical methods through both individual research and collaborations.
Quote
“In my work, I seek to combine the rigor of theoretical statistics with the creativity of computational methods to solve real-world problems in data analysis and modeling.”
