Biography
Camille Ruppli is a French biomedical engineer who completed a Master of Science (MSc) degree at Columbia University as part of a dual-degree program with Télécom ParisTech. During her time at Columbia, she was affiliated with the Heffner Biomedical Imaging Lab (HBIL), where she contributed to research in biomedical imaging, focusing on feature extraction from brain MRI scans.
Following her studies, Ruppli pursued a Ph.D. at Télécom Paris in collaboration with Incepto Medical, a startup specializing in AI solutions for radiology. Her doctoral research centered on developing self-supervised learning techniques to optimize annotation costs in medical imaging, with applications in prostate cancer detection.
Professionally, Camille Ruppli has held roles such as Project Lead and Data Scientist at Incepto Medical, where she focuses on integrating AI into clinical radiology workflows. She has also been active in academic circles, presenting seminars on AI and medical imaging at institutions like Télécom Paris.