Jose Storopoli

Associate Professor and Researcher of the Department of Computer Science at Universidade Nove de Julho - UNINOVE located in São Paulo - Brazil.

Teaches undergraduate and graduate courses in Data Science, Statistics, Bayesian Statistics, Machine Learning and Deep Learning using Julia, R, Python, and Stan. Contributor to Julia, R and Stan ecosystems. Proficient in C/C++ and Rust. Has published Julia, Rust, R, and Python packages in official repositories/registries.

Researches, publishes and advises PhD candidates on topics about Bayesian Statistical Modeling and Machine Learning applied to Decision Making. Principal Investigator of LabCidades - Smart City Research Lab at UNINOVE.

Coauthor of Julia Data Science upcoming book. Certified RStudio Tidyverse Instructor.

Julia for Data Science Book

Bayesian Statistics using Julia and Turing

Ciência de Dados e Computação Científica com Julia


Workshop of Bayesian Inference with Julia and Turing

Estatística Bayesiana com R e Stan

Ciência de Dados pandas, Scikit-Learn, TensorFlow e PyTorch


Estatística com R

Ciência de Dados com R e tidyverse