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    I am currently a senior research scientist in computer vision & machine learning at Veolia, in the Technical & Scientific Expertise Department. From 2013 to 2016, I led the image computing group at Mauna Kea Technologies (Paris, France). Mauna Kea Technologies is a global medical device company focused on leading innovation in endomicroscopy, the field of microscopic imaging during endoscopy procedures. Mauna Kea Technologies has developed a new imaging modality, the  probe-based Confocal Laser Endomicroscopy (pCLE). It provides physicians and researchers with real-time access to histological information during standard endoscopy procedures through high-resolution cellular imaging of internal tissues.

    From 2010 to 2013, I worked as a research scientist at Philips Research MediSys. 

    Before that, I obtained my PhD  in Image and Signal Processing under the supervision of Olivier Colliot and Habib Benali, working on machine learning and neuro-imaging in the Cognitive Neuroscience and Brain Imaging laboratory. The team is part of the Brain & Spine Institute (ICM) located in the «La Pitié-Salpétriêre» hospital.  I obtained my Master’s degree at Telecom ParisTech in Signal Processing and prior to that, I graduated from Ecole Polytechnique with a major in applied mathematics. Find out more in my resume.

    My thesis focused on machine learning methods for population analysis and patient classification in neuro-imaging.

 remi.cuingnet AT gmail.com