Teaches undergraduate and graduate courses in Data Science, Statistics, Bayesian Statistics, Machine Learning and Deep Learning using
Stan. Contributor to
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. Directs 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