Cédric Caruzzo

Cédric Caruzzo
AI Research Scientist at Lunit Inc.

Building foundation models for large-scale, multimodal scientific data.

About Me

I am an AI Research Scientist at Lunit Inc., where I build Foundation Models and Agentic AI systems for precision oncology. Moving beyond standard feature extraction, my work focuses on architecting distributed frameworks that enable AI to reason about cancer pathology at scale. I bridge the gap between self-supervised learning research and industrial engineering, designing the scalable infrastructure needed to learn from gigapixel biomedical data.

I completed my Master's degree at the KAIST Graduate School of AI as a recipient of the prestigious KAIST Global Presidential Scholarship. Advised by Prof. Ye Jong Chul in the Bio-Imaging, Signal Processing & Learning Lab (BISPL), my research centered on creating foundation models for Cell Painting assays. Concurrently with my full-time studies, I served as a consultant for Institut Pasteur Korea, continuing to drive key projects.

My work at KAIST followed my full-time role as a Data Scientist within the Pasteur International Unit AI3D, a joint initiative between Institut Pasteur Paris (mentored by Dr. Christophe Zimmer) and Institut Pasteur Korea (mentored by Dr. Spencer Shorte). In this role, I designed and deployed the core computer vision pipelines for high-content screening to accelerate drug discovery.

Publications

CellPainTR: Generalizable Representation Learning for Cross-Dataset Cell Painting Analysis
Cédric Caruzzo, Jong Chul Ye
arXiv preprint, 2025
Wolbachia detection in Aedes aegypti using MALDI-TOF MS coupled to artificial intelligence
Antsa Rakotonirina, Cédric Caruzzo, et al.
Scientific Reports, 2021
Cellular Phenotypic Profiling Combining Live Imaging & Cell Painting Techniques
Soonju Park, Cédric Caruzzo, et al.
Poster presented at: SLAS Europe 2024 Conference and Exhibition, Barcelona, Spain