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Finding Nemo
Related people (33)
Didier Trono
After obtaining an M.D. from the University of Geneva and completing a clinical training in pathology, internal medicine and infectious diseases in Geneva and at Massachusetts General Hospital in Boston, Didier Trono embarked in a scientific career at the Whitehead Institute for Biomedical Research of MIT. In 1990, he joined the faculty of the Salk Institute for Biological Studies to launch a center for AIDS research. He moved back to Europe seven years later, before taking the reins of the newly created EPFL School of Life Sciences, which he directed from 2004 to 2012. He is now actively engaged in the efforts of Switzerland to integrate new technologies in the fields of precision medicine and personalized health.
Jean-Philippe Thiran
Jean-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 Karmann
Caroline 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.