Phillipe Cardenuto
Summary
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SeniorJoão 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.
10 years of coding experience
Github Skills (18)
que9
devrel8
trend8
integrity6
image-processing4
image-quality4
deep-learning3
self-supervised-learning3
computer-vision3
descriptor3
contrastive-learning3
image-matching2
unsupervised-learning2
pytorch1
electron1
Programming languages (2)
Github contributions (5)
phillipecardenuto/rsiil
Jul 2022 - Aug 2022
Recod.ai Scientific Image Integrity Library
Contributions:18 commits, 4 PRs, 21 pushes in 1 month
deep-learningcomputer-visionintegrityimage-processingrecod
phillipecardenuto/upm
Apr 2023 - Apr 2025
Contributions:1 release, 54 pushes, 1 branch in 2 years 1 month
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