Corentin Dancette

Corentin Dancette is a Senior Machine Learning Researcher at Raidium, a company focused on developing foundation models for precision medicine in radiology.25 He has an impressive background in artificial intelligence and machine learning:

Education and Academic Experience

Dancette holds a PhD and was previously a PhD student at the MLIA team in the LIP6 lab at Sorbonne Université in Paris.13 His research primarily focused on visual reasoning tasks, such as Visual Question Answering.34

Professional Experience

Before joining Raidium, Dancette gained valuable industry experience working at Meta (formerly Facebook).2 He brings expertise in areas like:

• Machine Learning
• Deep Learning
• Computer Vision
• Visual Question Answering
• Bias mitigation in AI systems

Current Role at Raidium

At Raidium, Dancette is part of a team working on advancing precision medicine by developing AI models that can analyze medical imaging data.2 The company aims to promote access to imaging biomarkers through an AI-native interactive platform.

Research Contributions

Dancette has made significant contributions to the field of machine learning and computer vision. He has authored several papers and has been cited over 800 times according to Google Scholar.4 Some of his notable work includes research on reducing unimodal biases in Visual Question Answering and detecting shortcut learning in multimodal AI systems.1

Online Presence

Corentin Dancette maintains an active online presence:

• GitHub: He has 75 public repositories, showcasing various machine learning projects1
• Personal website: cdancette.fr3
• LinkedIn: His profile can be found under the username cdancette5

Dancette's combination of academic research experience and industry expertise in AI makes him well-suited for his role in developing cutting-edge AI solutions for medical imaging at Raidium.