Stéphanie LacourStéphanie P. Lacour holds the Bertarelli Foundation Chair in Neuroprosthetic Technology in the School of Engineering at EPFL and leads the Laboratory for Soft Bioelectronic Interfaces. She received her PhD in Electrical Engineering from INSA de Lyon, France, and completed postdoctoral research at Princeton University and the University of Cambridge. She is the recipient of the 2006 MIT TR35, a University Research Fellowship of the Royal Society, European Research Council ERC Starting and POC Grants, and a SNSF-ERC Consolidator Grant. She was elected a 2015 Young Global Leader by the World Economic Forum.
Johanni Michael BreaTeaching & PhD PhD Students Aude Maier, Lucas Louis Gruaz, Flavio Martinelli Courses Artificial intelligence and society HUM-286 This course integrates social sciences and humanities with engineering sciences, and introduces students to the social, technical and political issues surrounding artificial intelligence. Biological data science II : machine learning BIO-322 Students understand basic concepts and methods of machine learning. They can describe them in mathematical
Anne-Laure Mahul MellierExpertise
Cellular Biology: Cell culture of mammalian cell lines (U2OS, N2a, M17, SH-S5Y5, Cos, HeLa, HEK, MCF7), Astrocytic and neuronal primary cultures (hippocampus, cortex, striatum, midbrain) from P0 mouse or rat pups or from E16-E19 mice embryos, iPSC neuronal cultures (proliferation, passaging, differentiation in iNeurons or iDopaminergic neurons), Cellular transfection (DNA plasmid, siRNA, shRNA), Lentiviruses production and infection of neuronal primary cultures or mammalian cell lines, Samples pre
Eduardo Martin MoraudExpertise
The Moraud group develops closed-loop neuromodulation therapies for movement disorders, particularly Parkinson’s disease, with a specific emphasis on gait and balance impairments. The group integrates multimodal monitoring of motor and neural biomarkers to enable real-time decoding of dysfunctional states and their underlying neural dynamics, advancing a circuit-level understanding of locomotor control and informing the design of state-dependent adaptive therapies.
Mission
The group aims to transl
Amaury Pierre Jiezhi WeiExpertise
Deep Learning, Computer Vision, Physics Informed Machine Learning, Graph Neural Networks
Amaury obtained his Master's degree in Robotics from the Federal Institute of Technology in Lausanne (EPFL) in 2021.Before joining IMOS, he worked for multiple years at Logitech Europe S.A. as a Software Engineer in the field of Augmented and Virtual Reality. He researched 6DoF tracking solutions for handheld devices, developed the firmware and designed the testing strategy for the MR Stylus MX Ink.During his
Jan Sickmann HesthavenProf. Hesthaven received an M.Sc. in computational physics from the Technical University of Denmark (DTU) in August 1991. During the studies, the last 6 months of 1989 was spend at JET, the european fusion laboratory in Culham, UK. Following graduation, he was awarded a 3 year fellowship to begin work towards a Ph.D. at Riso National Laboratory in the Department of Optics and Fluid Dynamics. During the 3 years of study, the academic year of 1993-1994 was spend in the Division of Applied Mathematics at Brown University and three 3 months during the summer of 1994 in Department of Mathematics and Statistics at University of New Mexico. In August 1995, he recieved a Ph.D. in Numerical Analysis from the Institute of Mathematical Modelling (DTU). Following graduation in August 1995, he was awarded an NSF Postdoctoral Fellowship in Advanced Scientific Computing and was approinted Visiting Assistant Professor in the Division of Applied Mathematics at Brown University. In December of 1996, he was appointed consultant to the Institute of Computer Applications in Science and Engineering(ICASE) at NASA Langley Research Center (NASA LaRC). As of July 1999, he was appointed Assistant Professor of Applied Mathematics, in September 2000 he was awarded an Alfred P. Sloan Fellowship, as of July 2001 he was awarded a Manning Assistant Professorship, and in March 2002, he was awarded an NSF Career Award. In January 2003, he was promoted to Associate Professor of Applied Mathematics with tenure and in May 2004 he was awarded Philip J. Bray Award for Excellence in Teaching in the Sciences (the highest award given for teaching excellence in all sciences at Brown University). He was promoted to Professor of Applied Mathematics as of July 2005. From October 2006 to June 2013, he was the Founding Director of the Center for Computation and Visualization (CCV) at Brown University. As of October 2007, he holds the (honorary) title of Professor (Adjunct) at the Technical University of Denmark. In November 2009, he successfully defended his dr.techn thesis at the Technical University of Denmark and was rewarded the degree of Doctor Technices -- the highest academic distinction awarded based on ... substantial and lasting contributions that has helped to move the research area forward and penetrated into applications. As grant Co-PI he served from Aug 2010 to June 2013 as Deputy Director of the Institute of Computational and Experimental Research in Mathematics (ICERM), the newest NSF Mathematical Sciences Research Institute. After having spend his entire academic career at Brown University, Prof Hesthaven decided to pursue new challenges and joined the Mathematics Institute of Computational Science and Engineering (MATHICSE) at Ecole Polytechnique Fédérale de Lausanne (EPFL) in Switzerland in July 2013. In March 2014 he was elected SIAM Fellow for contributions to high-order methods for partial differential equations.
Silvestro MiceraShort biographical sketch Silvestro Micera received the University degree (Laurea) in Electrical Engineering from the University of Pisa, in 1996, and the Ph.D. degree in Biomedical Engineering from the Scuola Superiore Sant'Anna, in 2000. From 2000 to 2009, he has been an Assistant Professor of BioRobotics at the Scuola Superiore Sant'Anna where he is now the Head of the Neural Engineering group. In 2007 he was a Visiting Scientist at the Massachusetts Institute of Technology, Cambridge, USA with a Fulbri
Marwan Muhammad Ahmed AbdellahMarwan Abdellah, a self-motivated engineer born in Cairo, Egypt in 1987. He received his B.Sc. and M.Sc. degrees in Biomedical Engieering with distinction with honor from the Systems & Biomedical Engineering Department (SBME), Faculty of Engineering at Cairo University in 2009 and 2012 respectively. After graduation, he worked as a Research Engineer at IBE Technologies's R&D Department in a 4D ultrasound machines project. Then he moved to work as an Associate Software Engineer at the Biomedical Department in Symbyo Technologies. Afterwards, he joined the Multimedia Laboratory in the Swiss Federal Institute of Technology, Lausanne (EPFL) to conduct a research on H.264 & Reconfigurable Video Coding. Currently, he is working as a Scentific Visualization Engineer in the Blue Brain Project led by Prof. Henery Markram in the Brain Mind Institute at the Swiss Federal Institute of Technology, Lausanne (EPFL). Along with his professional career, Abdellah worked as an instructor at NILES (National Institute of Laser Enhanced Science) in Cairo University. He taught two courses in the areas of Computer Graphics and High Performance Computing. He focused in his M.Sc. thesis research on implementing high performance volume rendering techniques for large scale medical data on heterogeneous platforms. He succeeded in constructing a high performance Fourier Volume Render running entirely on CUDA-enable GPUs. Among his research intersets are High Perfromance Computing, Heterogenous Comuting, Visualization, Scalable Rendering, Computer Graphics & Modelling, Medical Image Processing, Video Processing & Reconfigurable Video Coding, Abdellah has been awarded a graphics card from NVIDIA during attending a workshop in High Performance Computing at the Intenational Center of Theoritical Physics (ICTP) in Trieste, Italy. His graduation project was honored by ITIDA and Egyptian Ministres of Telecommunications & Higher Education during a celebration organized by ITIDA in March 2010.
Werner Alfons Hilda Van GeitWerner is the Group Leader of the Cells team within the Simulation Neuroscience Division in Blue Brain.
The goal of his team is to build the single cell models which are the building blocks of the larger network models used in the Blue Brain Project. The first step when building these cell models consists of reconstructing, analysing and artificially recreating neuron morphologies. Next, a biophysically detailed electrical model for the different cell types is built. For the latter the team uses automated parameter optimisation tools like Blue Brain’s open source BluePyOpt tool, but they are also active in extending and developing other Blue Brain software packages related to single cells.
Grégoire CourtineGrégoire Courtine was originally trained in Mathematics and Physics, but received his PhD degree in Experimental Medicine from the University of Pavia, Italy, and the INSERM Plasticity and Motricity, in France, in 2003. From 2004-2007, he held a Post-doctoral Fellow position at the Brain Research Institute, University of California at Los Angeles (UCLA) under the supervision of Dr. Reggie Edgerton, and was a research associate for the Christopher and Dana Reeve Foundation (CDRF). In 2008, he became Assistant Professor at the faculty of Medicine of the University of Zurich where he established his own research laboratory. In 2012, he was nominated Associate Professor at the Swiss Federal Institute of Technology Lausanne (EPFL) where he holds the International paraplegic foundation (IRP) chair in spinal cord repair at the Center for Neuroprosthetics and the Brain Mind Institute. He published several articles proposing radically new approaches for restoring function after spinal cord injury, which were discussed in national and international press extensively. He received numerous honors and awards such as the 2007 UCLA Chancellors award for excellence in post-doctoral research and the 2009 Schellenberg Prize for his innovative research in spinal cord injury awarded by the International Foundation of Research in Paraplegia.
