Nathalie JustExpertise
MRIfMRIfMRSPreclinicalAnimal PhysiologyOptogenetics, Chemogenetics
Travail en cours
fMRS, Deuterium Imaging and Hyperpolarization
Enseignement et PhD Cours Advanced biomedical imaging methods and instrumentation PHYS-719 The main goal of this course is to give the student a solid introduction into approaches, methods, and instrumentation used in biomedical research. A major focus is on Magnetic Resonance Imaging (MRI) and related methods, but other imaging modalities will be increa
Johan AuwerxEnseignement et PhD Doctorant·es actuel·les Wenyu Liu, Maria Boulougouri, Giacomo Vincenzo Giorgio Von Alvensleben A dirigé les thèses EPFL de Pénélope Andreux, Mitsunori Nomura, Evan Graehl Williams, Hongbo Zhang, Virginija Jovaisaite, Elena Katsyuba, Karim Laurent Gariani, Adrienne Joëlle Laurence Mottis, Hao Li, Peiling Luan, Alexis Bachmann, Mario Romani, Xiaoxu Li, Alessia De Masi, Amélia Lalou A co-dirigé les thèses EPFL de Serge Thanh Son Ducommun, Laura Lukjanenko, Joanna Ratajczak, Angélique Sato
Cristina Ramona Cudalbu MoldovanCristina 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. Olexiy KochubeyEnseignement et PhD Doctorant·es actuel·les Nishant Jana A co-dirigé les thèses EPFL de Aiste Baleisyte, Denys Osypenko Cours Neural circuits of motivated behaviors BIO-499 Les comportements motivés répondent aux besoins physiologiques des animaux et assurent leur sécurité. Dans ce cours, vous découvrirez les circuits neuronaux qui perçoivent les états internes de l'animal, détectent les dangers potentiels, et organisent des réponses comportementales appropriées.
Tomislav MilekovicMission
Develop and advance brain-computer interfaces - devices that allow people with paralysis to control computers, robotic hands or their own paralyzed muscles directly by their brain activity - for the purpose of helping people with paralysis regain their lost abilities.
I obtained my dipl. ing. degree in Physics (equivalent to MSc in Physiscs) from the Faculty of Science of the Zagreb University in July 2006. During my undergraduate studies, I was awarded the Best Student award of the Department of Ph
Alessandra GriffaCurrent work
In recent years developments in graph theoretical analysis have been more and more applied to the study and characterization of both functional and structural brain networks. The human connectome has been characterized as a small-world, modular, hierarchical network, with few central nodes acting as connectors between local communities, and highly interconnected between them. This brain characterization is common to both structural and functional connectivity. Nevertheless the correlation betwe
Srikanth RamaswamyDr. Srikanth Ramaswamy is a group leader and senior scientist in the Blue Brain Project. He leads a multidisciplinary group at the interface of experimental neurophysiology and large-scale computational modeling to investigate the organising principles of neuromodulatory mechanisms that shape neocortical network dynamics.Srikanth graduated from the National Institute of Engineering in Mysore, India with a first class honours degree in Electrical engineering in 2002. In 2003, he was awarded a British Cheveni
Lijing XinLijing Xin is a research staff scientist and 7T MR Operational Manager at the Center for Biomedical Imaging (CIBM), Ecole polytechnique fédérale de Lausanne (EPFL), Switzerland. Her research interests focus on developing cutting-edge magnetic resonance spectroscopy and imaging methods for better understanding the brain function and the pathophysiology of neurological diseases. Her journey on magnetic resonance imaging (MRI) started from her master project during 2002-2005, where she developed a gradient unit with eddy current compensation and a pulse sequence generator for MRI spectrometer, which enhanced her knowledge in MR instrumentation. Later, she obtained her PhD in physics from Ecole polytechnique fédérale de Lausanne (EPFL) in 2010, where she focused on developing various novel 1H and 13C magnetic resonance spectroscopy (MRS) acquisition and quantification methods as well as RF coils on high field preclinical MR scanners. Afterwards, she started working on the clinical MR platforms including both 3 and 7T and continued to improve and develop novel acquisition and quantification methods for 1H, 13C and 31P nuclei. She carries on interdisciplinary collaborations with different partners, particularly with clinical partners where translational strategies are performed to explore the pathophysiology of psychiatric disorders and disease biomarkers for early diagnose and intervention.
Felix SchürmannFelix Schürmann is co-director of the Blue Brain Project and involved in several research challenges of the European Human Brain Project. He studied physics at the University of Heidelberg, Germany, supported by the German National Academic Foundation. Later, as a Fulbright Scholar, he obtained his Master's degree (M.S.) in Physics from the State University of New York, Buffalo, USA, under the supervision of Richard Gonsalves. During these studies, he became curious about the role of different computing substrates and dedicated his master thesis to the simulation of quantum computing. He studied for his Ph.D. at the University of Heidelberg, Germany, under the supervision of Karlheinz Meier. For his thesis he co-designed an efficient implementation of a neural network in hardware.
