Summary
Filipe Russo is a data science master's student in the Erasmus Mundus program, currently pursuing the Data Science track at the University of Padua with a strong foundation in mathematics from USP. He combines 12 years of multidisciplinary experience spanning data science, research in communication and diversity, bioinformatics, and educational technology, having built ML pipelines for population health risk prediction and applied network and causality methods to omics data. As a reviewer and editor for a neurodiversity journal and a former research collaborator at IEA‑USP and Max Planck, he bridges technical rigor with ethical, cultural and pedagogical perspectives. He has practical experience productionizing models in R and Python and a track record mentoring advanced students and developing gamified wellbeing EdTech. Filipe is seeking internships and thesis collaborations at the intersection of AI, generative AI and explainability, particularly where these meet media, education and philosophy. An uncommon asset is his blend of mathematical training, editorial practice, and hands‑on ML research that enables careful, interdisciplinary problem framing.
12 years of coding experience
4 years of employment as a software developer
Master in Big Data Management and Analytics, Computer Science, Master in Big Data Management and Analytics, Computer Science at ULB
Licenciate in Mathematics, Mathematics, 8.2, Licenciate in Mathematics, Mathematics, 8.2 at Instituto de Matemática e Estatística - Universidade de São Paulo (IME-USP)
Master of Data Science, Master of Data Science at Università degli Studi di Padova (UNIPD) / University of Padua
Art/Art Studies, General, Art/Art Studies, General at Insper Instituto de Ensino e Pesquisa
Curso de Serviço de Atendimento Educacional Especializado como Prática Pedagógica Inclusiva, EDUCATION, A, Curso de Serviço de Atendimento Educacional Especializado como Prática Pedagógica Inclusiva, EDUCATION, A at Universidade Federal de Santa Maria
Aperfeiçoamento em Altas Habilidades ou Superdotação: Identificação e AEE, EDUCATION, Aperfeiçoamento em Altas Habilidades ou Superdotação: Identificação e AEE, EDUCATION at Universidade Federal de Pelotas
UPC Universitat Politècnica de Catalunya
Specialization Course, Computer Science for Education, 9.7, Specialization Course, Computer Science for Education, 9.7 at Instituto de Ciências Matemáticas e de Computação (ICMC) - USP