Summary
Valentin Fauveau is a Programmer Analyst III with eight years of interdisciplinary experience applying deep learning and data science to biomedical imaging problems, currently at the Biomedical Engineering and Imaging Institute at Mount Sinai in New York. He has led data science efforts at Strados Labs and built production-ready deep learning models for vision tasks at Novartis and Columbia, including OCT-based BCVA prediction and CT-based emphysema detection. Trained in biomedical engineering and medical imaging across institutions in Colombia, France, and the U.S., he blends rigorous academic grounding with hands-on engineering to move models from research to clinical-grade applications. Comfortable bridging research and production, he brings a forensic and clinical perspective from prior roles in forensic CT post-processing and brain-stimulation research, which informs robust, interpretable model design.
8 years of coding experience
3 years of employment as a software developer
Master's degree, Biomedical/Medical Engineering, Master's degree, Biomedical/Medical Engineering at Université Paris Descartes
Master of Science - MS, Computational Bio-engineering, Master of Science - MS, Computational Bio-engineering at Columbia University in the City of New York
Master's degree, Medical Imaging and Artificial Intelligence, Master's degree, Medical Imaging and Artificial Intelligence at Telecom ParisTech
Universidad de los Andes
Spanish, French, English