Summary
João Cardenuto is a data scientist with nine years of experience specializing in computational methods to detect misconduct in scientific publications, blending computer vision and machine learning expertise from a PhD in Computer Science. He has led cross-border research collaborations with teams in the U.S., Italy, and Brazil, producing datasets, algorithms, and a deployed system that earned the Google LARA Award. His work spans academia and industry—from a postdoc and visiting researcher roles (including published detection methods for AI-generated images) to a data scientist role at Dell Technologies—demonstrating a track record of moving research into real-world tools. João is committed to building transparent, explainable, and rigorously validated solutions for scientific integrity and to fostering a global community around these standards. Based in São Paulo, he combines rigorous forensic research with practical engineering, and brings a quieter side as a lifelong learner who pairs technical depth with human-centered curiosity.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering - BE, Computer Engineering, Bachelor of Engineering - BE, Computer Engineering at Universidade Estadual de Campinas (Unicamp)
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Universidade Estadual de Campinas