Neuroplasticity

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Lida Kanari

Cristina Ramona Cudalbu

Cristina Cudalbu obtained her Bachelors of Science degree in Medical Physics in 2002 and Masters of Science degree in Biophysics and Medical Physics in 2003, both from University Babes-Bolyai, Cluj-Napoca, Romania. In 2006 she obtained her PhD degree in Localized Proton MRS and time domain quantification of cerebral metabolites at 7T and 4.7T at University Lyon 1, RMN Laboratory, Villeurbanne, France.In 2007, she joined, as a Scientist, the Laboratory for Functional and Metabolic Imaging at EPFL, where she implemented new acquisition and quantification techniques for in vivo nitrogen, proton and carbon MRS for preclinical studies. Starting 2012, Cristina Cudalbu was appointed as Research Staff Scientist and 9.4T MRI Operational Manager at Centre d’Imagerie Biomédicale (CIBM) at EPFL. She is now developing new research lines at CIBM, being oriented towards new acquisition and quantification techniques for in vivo proton, phosphorous, carbon, nitrogen MRS and fast MRSI, diffusion weighted spectroscopy and brain macromolecules quantification. She is now applying these developments on chronic hepatic encephalopathy, a research area that she developed at CIBM (https://actu.epfl.ch/news/when-liver-disease-affects-the-brain/), and on different collaborative projects with researchers from the five partner institutions of CIBM.

Françoise Gisou van der Goot Grunberg

Gisou van der Goot is the Head of the Laboratory of Cell and Membrane Biology, and founding member of the Global Health Institute (GHI), School of Life Sciences, at the Swiss Federal Institute of Technology Lausanne/EPFL (Ecole Polytechnique Fédérale de Lausanne). She is currently Vice President for Responsible Transformation, in charge of reinforcing values such as inclusion and sustainability throughout the School’s campus. From 2014 to 2020, she was Dean of the School of Life Sciences. Before joining EPFL, she was Group Leader at the Faculty of Sciences of the University of Geneva (UNIGE) and subsequently Associate Professor at the Faculty of Medicine of the same university. She studied engineering at the Ecole Centrale de Paris, then did a PhD in Molecular Biophysics at the Nuclear Energy Research Center, Saclay, France, followed by a postdoc at the European Molecular Biology Laboratory (EMBL) in Heidelberg. She obtained an EMBO Young Investigator award in 2001, a Howard Hughes International Scholar award in 2005 and the Swiss Prix Marcel Benoist in 2009, the same year she was elected EMBO member (European Molecular Biology Organisation). She is a leader in the fields of molecular and cellular understanding of bacterial toxins, the organization of mammalian membranes and in organelles biology. Professor van der Goot is member of diverse scientific boards such as the Swiss National Science Foundation (SNF), the Conseil suisse de la science et de la technologie (CSST) and the European Research Council (ERC).

Erika Myrna Borcel Novoa

Dimitri Nestor Alice Van De Ville

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.