Carlos T. P. Zanini

Biography

I am from a small town called Cachoeiro de Itapemirim located in Espírito Santo, Brasil.

Currently, I am a professor of the Departamento de Métodos Estatísticos (Department of Statistical Methods) in Universidade Federal do Rio de Janeiro (Federal University of Rio de Janeiro), Brazil.

I earned my PhD (2019) at the Statistics and Data Sciences department of University of Texas at Austin. My PhD advisor was doctor Peter Müller and I worked with him on Bayesian models for cluster analysis with applications to gene expression data. I was also co advised by doctor Mingyuan Zhou in machine learning methods and neural networks.

I obtained my Masters (2015) degree in Statistics at Universidade Federal do Rio de Janeiro (UFRJ) working under supervision of doctor Mariane Branco Alves and doctor Helio dos Santos Migon on non-linear Bayesian state space models.

In 2014, I finished my undergraduate studies in Statistics, also at UFRJ, working on Poisson dynamic regression models under supervision of doctor Mariane Branco Alves.

From 2014 to 2015, I worked as a lecturer at UFRJ teaching undergraduate level Statistics courses.

Research interests

My main research interests are Bayesian Statistics, Biostatistics, Mixture models, Bayesian Non-Parametrics, Dynamic Models, Deep Learning and Neural Networks.

Contact

Emal: carloszanini@dme.ufrj.br

Office location: Centro de Tecnologia, Bloco C, sala (a determinar). Ilha do Fundão, RJ.