Didier TronoAprès des études de médecine à l’Université de Genève et une formation clinique en pathologie, médecine interne et maladies infectieuses à Genève et au Massachusetts General Hospital de Boston, Didier Trono s’engage dans une carrière scientifique au Whitehead Institute du MIT. En 1990, il est recruté par le Salk Institute de San Diego pour lancer un centre de recherche sur le SIDA. Il rentre en Europe sept ans plus tard, avant de prendre en 2004 les rênes de la toute nouvelle faculté des Sciences de la Vie de l’EPFL, dont il orchestre le développement et qu’il dirige jusqu’en 2012. Il participe aujourd’hui activement à la coordination des efforts de la Suisse en vue de l’intégration des nouvelles technologies dans le domaine de la médecine de précision et de la santé personnalisée.
Jean-Philippe ThiranJean-Philippe Thiran was born in Namur, Belgium, in August 1970. He received the Electrical Engineering degree and the PhD degree from the Université catholique de Louvain (UCL), Louvain-la-Neuve, Belgium, in 1993 and 1997, respectively. From 1993 to 1997, he was the co-ordinator of the medical image analysis group of the Communications and Remote Sensing Laboratory at UCL, mainly working on medical image analysis. Dr Jean-Philippe Thiran joined the Signal Processing Institute (ITS) of the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland, in February 1998 as a senior lecturer. He was promoted to Assistant Professor in 2004, to Associate Professor in 2011 and is now a Full Professor since 2020. He also holds a 20% position at the Department of Radiology of the University of Lausanne (UNIL) and of the Lausanne University Hospital (CHUV) as Associate Professor ad personam. Dr Thiran's current scientific interests include
Computational medical imaging: acquisition, reconstruction and analysis of imaging data, with emphasis on regularized linear inverse problems (compressed sensing, convex optimization). Applications to medical imaging: diffusion MRI, ultrasound imaging, inverse planning in radiotherapy, etc.Computer vision & machine learning: image and video analysis, with application to facial expression recognition, eye tracking, lip reading, industrial inspection, medical image analysis, etc.
Caroline KarmannCaroline Karmann is a PostDoctoral Researcher at the Laboratory of Integrated Performance in Design (LIPID) in the Swiss Federal Institute of Technology, Lausanne (EPFL). Caroline is interested in architecture and daylight in spaces, and in how our built environments affect our well-being. Her current research lies in the gap between visual comfort and visual interests based on the subjective and behavioral responses of occupants.
Caroline holds PhD in Building Science in Architecture from UC Berkeley and a dual Master’s degree in Architecture and Energy Engineering from INSA Strasbourg. Her doctoral project was devoted to indoor environmental quality in buildings using radiant conditioning systems. She conducted full-scale laboratory experiments and fields studies in 20 buildings. Her work was presented in multiple conferences including the ASHRAE conference, Windsor and PLEA, where she won Best Paper Award in 2018.
Caroline has five years of professional experience in the field of climate responsive building design. She worked as a consultant for daylight and energy at Transsolar (Stuttgart), where she specialized in building performance simulation, in particular daylighting simulation. Following her PhD, she worked for one year at Arup (London), where she conducted research on city resilience, and supported research activities through workshop facilitation and strategic planning.
