Summary
Fabricio De França is an associate professor and coordinator of the Computer Science graduate program at Universidade Federal do ABC with 12 years of academic and research experience in machine learning, optimization, and recommender systems. He holds an M.Sc. and Ph.D. in Artificial Intelligence from UNICAMP and blends theoretical research—especially in symbolic regression and explainable AI—with practical work in large-scale data and e-commerce recommendation engines. His technical toolkit spans functional programming (Haskell), Python, C/C++, MATLAB, R and Java, and he has a history of implementing optimized, scalable algorithms for industrial and academic projects. Fabricio’s research interests uniquely combine biclustering/co-clustering, meta-heuristics and mathematical programming, reflecting a focus on interpretable, optimization-driven solutions. He has longstanding experience translating advanced imputation and optimization methods from doctoral research into novel recommender-system ideas. Based in São Paulo, he bridges deep AI theory with hands-on system development and curriculum leadership.
12 years of coding experience
7 years of employment as a software developer
Engineer, Electrical Engineering, Engineer, Electrical Engineering at Universidade Católica de Santos
Ph.D., Artificial Intelligence, Ph.D., Artificial Intelligence at Universidade Estadual de Campinas
English, Portuguese