Jodavid Ferreira, Ph.D.

Professor of Statistics · Federal University of Pernambuco (UFPE)

Department of Statistics (DEst) · Recife, PE, Brazil

Statistics & Probability Machine Learning PolSAR Remote Sensing Artificial Intelligence & LLMs Open-Source & FOSS

Ph.D. in Statistics from UFPE with postdoctoral work in Decision Models and Health. My research centers on statistical learning, supervised classification, and unsupervised segmentation, with specialized applications in polarimetric synthetic aperture radar (PolSAR) imagery and modern Generative AI & LLMs.

Book

Open-access textbook for the undergraduate course in Statistics at UFPE, with practical examples in R and Python.

Introdução à Ciência de Dados

Open Access R · Python

From the fundamentals of R, Python, Git and Quarto to data visualization, storytelling, supervised and unsupervised machine learning, with slides, worked examples and exercise lists.

Bacharelado em Estatística · UFPE · 2026 · CC BY 4.0

Read online PDF edition

Research Laboratories & Groups

Active research affiliations, scientific leadership, and inter-institutional laboratory collaborations.

LMET-SR

Vice-Coordinator UFPE

Laboratório de Modelagem Espaço-Temporal para Sensoriamento Remoto

Departamento de Estatística · UFPE

CASTLAB

Vice-Coordinator UFPE

Computational Agriculture Statistics Laboratory

Departamento de Estatística · UFPE

https://castlab.org

LEEME

Researcher UFPE

Laboratório de Estatística Espacial e Modelagem Estatística

Departamento de Estatística · UFPE

LEAPIG

Researcher UFPB

Laboratório de Estatística Aplicada ao Processamento de Imagens e Geoprocessamento

Departamento de Estatística · UFPB

http://de.ufpb.br/~leapig

LABTEVE

Researcher UFPB

Laboratório de Tecnologias para o Ensino Virtual e Estatística

Departamento de Estatística · UFPB

http://de.ufpb.br/~labteve

MULTLAB

Researcher UFPE

Laboratório Multidisciplinar para Modelagem Estatística

Departamento de Estatística · UFPE

https://multlabufpe.github.io

Academic & Teaching Hub

Explore teaching materials, recent presentations, research projects, and academic background.

Books, Presentations & Talks

Books, Slide decks and materials from conference talks, workshops, and invited seminars.

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Course Materials

Study guides and lecture notes for undergraduate and graduate courses in Data Science, Neural Networks, and Statistics.

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About & Research

Academic background, postdoctoral fellowship, research agenda in statistical learning & PolSAR, and AI leadership.

Curriculum Vitae

Interactive curriculum vitae created with R + pagedown, along with downloadable PDF version.

Open CV (pt-BR)

Code Repositories & Useful Tools

Machine learning scripts in Python/R, Google Colab notebooks, Positron IDE, and computational resources.