Jose Storopoli

Associate Professor and Researcher of the Department of Computer Science at Universidade Nove de Julho - UNINOVE located in São Paulo - Brazil. Lead on Education and Training at Pumas-AI.

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.

Researches, publishes and advises PhD candidates on topics about Bayesian Statistical Modeling and Machine Learning applied to Decision Making.

Coauthor of Julia Data Science book. Leads the development of education and training materials for Pumas users in Julia. Member of the Stan Governing Body - SGB. Member of the Turing.jl Developer Team. Certified RStudio Tidyverse Instructor.




Julia for Data Science Book


Bayesian Statistics: a graduate course


Bayesian Statistics using Julia and Turing

Ciência de Dados e Computação Científica com Julia

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