Summary
Gean Trindade is a Data Scientist and PhD candidate at the University of São Paulo and La Rochelle Université specializing in meta-learning and neural architecture search to optimize deep networks for natural and medical image analysis. With 12 years of experience and a strong academic track record—including a Microsoft Research PhD Fellowship and an international double-degree scholarship—he builds interpretable, high-performance models for tasks like tumor classification and segmentation. His work spans evolutionary algorithms, multi-objective optimization, hierarchical classification and bioinformatics, complemented by hands-on engineering with Python, TensorFlow and PyTorch on GPU clusters. Beyond research, Gean has industry experience at Eletrobras and Kunumi, and a history of producing reproducible methods (e.g., MbML-NAS and Active-DiNTS) that bridge academic rigor and clinical relevance. He is actively expanding into NLP to round out his applied ML skill set.
11 years of coding experience
7 years of employment as a software developer
Master in Computer Science, Machine Learning, Master in Computer Science, Machine Learning at Universidade Federal de São Carlos - UFSCar Oficial
Curso Técnico Integrado, Informatics, Curso Técnico Integrado, Informatics at IFFAR - Instituto Federal Farroupilha
Bacharelado em Engenharia, Computer Software Engineering, Bacharelado em Engenharia, Computer Software Engineering at Universidade Federal do Pampa
Doctor of Philosophy - PhD, Computer Science, Duplo diploma em colaboração com a Universidade de São Paulo, Doctor of Philosophy - PhD, Computer Science, Duplo diploma em colaboração com a Universidade de São Paulo at La Rochelle Université
University of São Paulo
Spanish, Portuguese, French, English