Cristina Ramona CudalbuCristina 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. 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.
Elda Fischi GomezElda Fischi-Gomez holds a BsC and a MsC degree in Telecommunication Engineering from the Polytechnic University of Catalonia (UPC, Barcelona, Spain) and a PhD in Electrical Engineering from the Swiss Federal Institute of Technology (EPFL, Lausanne, Switzerland, 2015). Her main research interests center on the development and application of novel MRI techniques to clinics by optimising the inter-play between multi-modal MR analysis, MR physic/hardware and the underlying clinical neuroscience. She has worked as a post-doctoral fellow at the A.A. Martinos Center of Biomedical Imaging of the Massachusetts General Hospital, Harvard Medical School (Boston, MA, USA) with a Swiss National Foundation Fellowship. Since 2019 she joined the Signal Processing Laboratory 5 of the Swiss Federal Institute of Technology Lausanne (EPFL) with a SPN-PHRT individual grant from the EPFL-ETH domain on microstructure imaging for multiple sclerosis.
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.
Sean Lewis HillSean Hill is co-Director of Blue Brain, a Swiss national brain initiative, where he leads the Neuroinformatics division, based at the Campus Biotech in Geneva, Switzerland. He also directs the Laboratory for the Neural Basis of Brain States at the École Polytechnique Fédérale de Lausanne (EPFL). Dr. Hill served as the Executive Director (2011-2013) and Scientific Director (2014-2016) of the International Neuroinformatics Coordinating Facility (INCF) at the Karolinska Institutet in Stockholm, Sweden. Dr. Hill has extensive experience in building and simulating large-scale models of brain circuitry and has also supervised and led research efforts exploring the principles underlying the structure and dynamics of neocortical and thalamocortical microcircuitry. He currently serves in management and advisory roles on several large-scale clinical informatics initiatives around the world. After completing his Ph.D. in computational neuroscience at the Université de Lausanne, Switzerland, Dr. Hill held postdoctoral positions at The Neurosciences Institute in La Jolla, California and the University of Wisconsin, Madison, then joined the IBM T.J. Watson Research Center where he served as the Project Manager for Computational Neuroscience at Blue Brain until his appointment at the EPFL.
