Arne SeitzEnseignement et PhD Cours Advanced Microscopy for Life Science BIO-659 For further information, please get in contact with the instructor or have a look on the following web-site: http://biop.epfl.ch/ Bioimage informatics BIO-410 Le cours fournit une complète revue des méthodes, algorithmes et des outils logiciels utilisés en analyse d'images biologiques. Il expose les concepts fondamentaux et les solutions informatiques permettant d'extraire des informations quantitatives à Romain GuietExpertise
Development of BioImage Analysis workflows and algorithms to extract quantitative data from microscopy images.BioSample Preparation : in vitro cell, organoid, time-lapse, fixation, staining strategies, actin, mitochondria, fluorescent protein expressionBioImage Acquisition : Widefield, Confocal, Whole Slide Imaging, Super-resolution (SIM, STORM, STED), FRET, FRAP, FLIMBioImage Analysis: Colocalisation analysis, Deconvolution, Time-lapse , Whole Slide ImagingTools & Software: ImageJ/Fiji, QuPath, i
Harald Hirlingsince 2018:Adjoint du Doyen SV, Responsable Finance SVsince 2008: Adjoint du Doyen SV 2002-2010: Adjoint scientifique, FSV-LNC, EPFL 2006-2008: Adjoint de Section SSV 2003-2004: coordinator (directeur) of the doctoral program in Neuroscience, EPFL Doctoral School 1994-2001: University of Lausanne Stanford University Institut Curie, Paris Education: ISREC, Epalinges (Switzerland). University of Konstanz (Germany)
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.
Bruno LemaitreExpertise
Directeur du Global Health Institute
Enseignement et PhD Doctorant·es actuel·les Blandine Ribotta, Yao Tian, Désirée Popelka, Prince Kumar Sah, Siqi Wang, Kenan Krakovic, Nathan Alexandre Klotz A dirigé les thèses EPFL de Sveta Chakrabarti, Olivier Binggeli, Jeremy Keith Herren, Juan Camilo Paredes Escobar, Alfred Chng, Maroun Bou Sleiman, Jan Paul Dudzic, Mario Gonzalo Garcia Arraez, Claudia Melcarne, Alice Marra, Bianca Marie Petrignani, Mark Austin Hanson, Alexia Laurie Carboni, Asya Dolgikh
Michaël UnserExpertise
Image Processing Medical Imaging Biological Imaging Wavelets Splines Multiresolution
Enseignement et PhD Doctorant·es actuel·les Youssef Haouchat, Vincent Patrick Lawrence Guillemet, Bassam El Rawas, Stanislas Ducotterd, Mehrsa Pourya, Zhiyuan Hu A dirigé les thèses EPFL de Stefan Horbelt, Jan Kybic, Maria Arrate Munoz Barrutia, Manuela Feilner, Slavica Jonic, Mathews Jacob, Michael Liebling, Michael Sühling, Muthuvel Arigovindan, François Aguet, Cédric Vonesch, Ildar Khalidov, Sathish Ramani, F
Alexander MathisAlexander studied pure mathematics with a minor in logic and theory of science at the Ludwig Maximilians University in Munich. For his PhD also at LMU, he worked on optimal coding approaches to elucidate the properties of grid cells. As a postdoctoral fellow with Prof. Venkatesh N. Murthy at Harvard University and Prof. Matthias Bethge at Tuebingen AI, he decided to study olfactory behaviors such as odor-guided navigation, social behaviors and the cocktail party problem in mice. During this time, he increasingly got interested sensorimotor behaviors beyond olfaction and started working on proprioception, motor adaption, as well as computer vision tools for measuring animal behavior.
In his group, he is interested in elucidating how the brain gives rise to adaptive behavior. One of the major goals is to synthesize large datasets into computationally useful information. For those purposes, he develops algorithms and systems to analyze animal behavior (e.g. DeepLabCut), neural data, as well as creates experimentally testable computational models.
Franz-Josef HaugI studied Physics between 1990 and 1996 at the Universities of Ulm (Germany) and Waikato (New Zealand). While specializing mostly on Theoretical Physics and Quantum Theory during my studies, I turned towards Experimental Physics for a graduate work on gas-phase epitaxy of silicon. After that, I pursued a PhD program at ETH Zürich (Switzerland), studying Cu(In,Ga)Se2 solar cells. As PostDoc, I went to EMPA (Switzerland) to work on plasma processes for hard coatings of TiN and to the Jülich Research Centre in Germany to study light scattering ZnO front contacts for solar cells. In 2005 I joined the Institute of Microengineering (IMT) at the University of Neuchatel to lead a research group on thin film silicon solar cells within the PV-Lab. In 2009 the IMT was integrated into EPFL. My main research interests are optics, charge transport in semiconductors and renewable energy in general. My current work is devoted to passivating contacts for crystalline silicon solar cells, using thin silicon films as contact layers. In 2015 I was appointed Maitre d'Enseignement et Recherche (Senior Lecturer and Scientist) and member of the Faculty of STI. From 2013 to 2015 I was member of the EFPL Teachers Council (CCE) and from 2016 and 2018 I was elected into the Council of the Engineering School (CF-STI). In 2020 I was elected to become a member of CF-STI. My main objective for the legislature is to represent the role of EPFL's intermediate staff and to raise the awareness for concerns of the satellite campuses.
Sandra Eloise KjeldsenPositions
2008- : Laborantine (Laboratoire du Pr D. Trono), Laboratoire de virologie et génétique, EPFL, Suisse.
2004-2008: Laborantine (Laboratoire du Pr A. Trumpp), ISREC, Suisse.
2004: Assistante de recherche (Laboratoire du Pr G. Corradin), Institut de Biochimie, Université de Lausanne, Suisse.
Éducation
1999 - 2004:
Diplôme en Biologie (spécialités : Immunologie, Biochimie et Pharmacologie)
Université de Lausanne, Suisse.
Juin 1999:
Baccalauréat Scientifique, France. Patrick Daniel BarthProfessor Patrick Barth is Associate Professor at EPFL and Adjunct Associate Professor at Baylor College of Medicine, Houston, TX, USA. He received training in Physics, Chemistry and Biology (University of Paris, ENS) in France and performed his PhD at the Commissiariat a l'Energie Atomique in Saclay, France on structure/function studies of membrane proteins (photosystem I) using biochemical and biophysical experimental techniques. He carried out postdoctoral studies at University of California at Berkeley with Tom Alber on computational development for calculating protein electrostatics and designing de novo selective peptide inhibitors of cellular protein interactions. He then went to the University of Washington as a postdoctoral fellow and instructor in David Baker's laboratory to develop computational techniques in the software Rosetta for predicting and designing membrane protein structures. He started his independent career and received tenure at Baylor College of Medicine. He will continue at EPFL to marry computation and experiment for understanding the molecular determinants of signal transduction, as well as modeling and designing membrane proteins with novel functions for various synthetic biology and therapeutic applications.
Bernard SchneiderEnseignement et PhD Doctorant·es actuel·les Yesica Gloria, Christian Schellhaas A dirigé les thèses EPFL de Vanessa Laversenne, Sameer Mohammad Khaleel Nazeeruddin, Emma Charlotta Källstig A co-dirigé les thèses EPFL de Philippe Guillaume Coune, Emilda Pino, Elisabeth Anne Dirren, Aurélien Lathuilière, Wojciech Janusz Bobela, Lu Zheng, Cylia Cloé Rochat Cours Methods: from disease models to therapy BIOENG-518 Ce cours décrira les méthodes qui sont à la base des approches translationnelles
