Delphine PreissmannEnseignement et PhD Cours Cerveau, esprit et société HUM-256 Ce cours aborde les sujets relatifs aux recherches sur les bases cérébrales des actions humaines, en revenant notamment sur l'histoire du cerveau, les changements actuels liés au développement des neurosciences, ainsi que les liens entre cerveau et maladie mentale. La recherche dans tous ses états I HUM-437 Ce cours propose un regard pluridisciplinaire sur la recherche. Au-delà du thème traité, des intervenants de
Siara Ruth IsaacExpertise
Higher Education Teaching and LearningInteractive Teaching for Large GroupsArtificial Nucleoside Analogs
Enseignement et PhD Cours Learning and collaboration in project HUM-279 Ce cours explore les fondements théoriques et pratiques de l'apprentissage par projets. L'étude active de modèles, contextes et outils utilisés dans l'apprentissage par projet vous permettra de développer des compétences cognitives et collaboratives utiles à tout contexte de projet. Lecturing and Presentin
Friedhelm Christoph HummelExpertise
Stroke recoveryHealthy AgingMotor ControlMotor LearningCognitive ControlNeuroplasticityNon-invasive Brain StimulationStructural and functional NeuroimagingConnectivity
Enseignement et PhD Doctorant·es actuel·les Maria Ploumitsakou, Simona Losacco, Fabienne Windel, Andrea Protani, Stavroula Skarvelaki, Wei Chung Hsu, Rebecca Jane Jones, Beatrice Lugli, Thomas Paul, Paul de Fontenay, Michele Di Ponzio, Léa Kim-mi Ho Dac, Dong Jin Sung, Andrea Nuti, Greta Carnevali A dirigé les thèses EPFL de Rober
Kamiar AminianExpertise
Biomechanics of human movement Wearable Technology / Inertial sensors Gait Analysis / Physical Activity Monitoring Physical activity Patterns Sport Performance Orthopedics / Rehabilitation engineering Fall Prevention in Elderly Motor function in Parkinson disease Physical behavior in chronic pain
Expertise
Biomechanics of human movement Wearable Technology / Inertial sensors Gait Analysis / Physical Activity Monitoring Physical activity Patterns Sport Performance Orthopedics / Rehabilitation engin
Jevita PotheegadooAvec un parcours de neuropsychologue clinicienne, j’apprécie beaucoup de travailler avec des populations cliniques. J’ai appris et continue à apprendre énormément auprès des patients que je rencontre, non seulement sur la pathologie qui les touchent, mais aussi sur la manière d’appréhender la recherche et la clinique.
Après une Licence en Psychologie à l’Université de Strasbourg (France), j’ai effectué en 2005 un Master Professionnel de Neuropsychologie clinique à l’Université de Caen Basse-Normandie (France). J’ai exercé comme neuropsychologue clinicienne en milieu hospitalier (unités de neurologie, et gériatrie), puis j’ai intégré le Département de Psychiatrie du CHU de Strasbourg. Alliant clinique et recherche, j’ai étudié au cours de ma thèse de Doctorat (soutenue en 2014) les troubles de la mémoire autobiographiques dans la schizophrénie (Unité INSERM). J’ai rejoint l’équipe du Prof. Olaf Blanke en 2016 en tant que collaboratrice scientifique.
Henry MarkramEnseignement et PhD Doctorant·es actuel·les Davide Bella A dirigé les thèses EPFL de Tania Rinaldi, Jean-Vincent Le Bé, Michele Pignatelli, Thomas Berger, Luca Gambazzi, Rodrigo de Campos Perin, Imad Riachi, Muhammad Asif Jan, Rajnish Ranjan, Srikanth Ramaswamy, Georges Khazen, Vincent Delattre, Mônica Favre, Shruti Muralidhar, Michael Reimann, Jean Pierre Ghobril, Renaud Luc Richardet, Marwan Abdellah, Willem Wybo, Csaba Erö, Lida Kanari, Giuseppe Chindemi, Berat Denizdurduran, Max Nolte, Taylor Howard N
Bruno HerbelinSince 10/09 - Scientist Laboratory of cognitive neuroscience Brain & Mind Institute, École Polytechnique Fédérale de Lausanne, Switzerland. 06/12 - 10/19 Deputy Director Center for Neuroprosthetics École Polytechnique Fédérale de Lausanne, Switzerland. 11/05 - 09/09 Assistant Professor Aalborg University Esbjerg Institute of Technology & Copenhagen Institute of Technology, Denmark. 07/01 - 09/05 Research assistant PhD student Virtual Reality Laboratory School of Computer and Communications, École Polytechnique Fédérale de Lausanne, Switzerland.
Solaiman Shokur2019 - now : Senior Scientist, Translational neuroengineering Laboratory, EPFL(Geneva)
Team leader: CHRONOS project, a multi-center European project that aims at developing the first chronically implanted prosthetic hand for transradial amputee patients with bidirectional communication capabilities. NCCR Robotics: Bi-directional control of supernumerary limbs.2014-2019: Research Coordinator, AASDAP (São Paulo, Brazil) Responsible for both the scientific production and the clinical protocol at the AASDAP neurorehabilitation laboratory.
2013-2014: Postdoctoral associate, Walk again project, Insituto Santos Dumond. (Natal, RN, Brazil)Head of the engineering team in charge of the system integration. 2010-2012: Visiting scientist, Nicolelis Lab (Duke University).
Development and validation of a virtual-reality based brain-machine interface for rhesus monkeys.
2007 – 2010: Teaching assistant, Laboratory of Robotics Systems (EPFL)
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.
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