Summary
Corentin Royer is a PhD candidate and machine learning researcher with nine years of experience bridging industry and academia across Switzerland and Europe. Trained with a double-degree background from KTH and Télécom Paris, he has focused on computer vision and NLP, recently working as a guest researcher at UZH on multimodal medical vision-language models and now continuing his doctoral work at IBM/ETH Zürich. His research internship at ELCA produced a notable 26% performance improvement using Mixer architectures for text embeddings, reflecting a practical emphasis on efficient, hardware-friendly model designs. Comfortable in Python, C/C++, JavaScript and C#, he blends rigorous academic methods with hands-on engineering to translate multimodal research into applied solutions.
8 years of coding experience
KTH Royal Institute of Technology
Diplôme d'ingénieur, Technologies de l'information, Diplôme d'ingénieur, Technologies de l'information at Télécom Paris
Institut Polytechnique de Paris
Doctor of Science, Computer Science, Doctor of Science, Computer Science at ETH Zürich
Classes préparatoires aux grandes écoles (CPGE), Physique et Technologie, Classes préparatoires aux grandes écoles (CPGE), Physique et Technologie at LGT JOLIOT CURIE (RENNES)
English, German