Delphine Ribes Lemay

I am Delphine Ribes Lemay, born in Lyon, France, in November 1982. I hold a Master’s degree in Electrical Engineering with a specialization in signal and image processing from CPE Lyon (2008).My scientific career began in 2006 at the University of North Carolina in Chapel Hill, USA, under the supervision of Guido Gerig, where I worked on grey matter segmentation. I later pursued an academic exchange at EPFL in Switzerland, where I collaborated with Jean-Philippe Thiran and Meritxell Bach Cuadra, completing my Master’s thesis on the 3D reconstruction of 2D autoradiographic brain images.In 2008, I joined the Advanced Clinical Imaging Technology group at Siemens (CIBM, EPFL campus) as an R&D engineer. Over four years, I contributed to the development of automated brain morphometry tools integrated into MRI workflows. This work led to the clinical deployment of MorphoBox and several scientific publications. In parallel, I co-developed a novel skull-stripping methodology, resulting in patents in Europe and the United States.From 2011 to 2014, I worked at ARTORG (University of Bern) and CAScination, where I led clinical research and contributed to the development of image-guided surgical technologies. This included the development of the Ubersound system and innovations in intraoperative imaging, leading to both publications and patents.Since 2014, I have been part of the EPFL+ECAL Lab, the design research center at EPFL led by Nicolas Henchoz. I currently lead the Algorithmic & Coding Group, focusing on the integration of machine learning into design-driven applications, particularly in healthcare. My work explores how technology, design, and user experience can be combined to improve adoption, trust, and usability in medical systems.More broadly, my career has been driven by a strong commitment to bridging advanced algorithmic research with real-world applications, ensuring that technological innovation remains meaningful, usable, and impactful.For more information: https://epfl-ecal-lab.ch/