Jean-Philippe ThiranJean-Philippe Thiran was born in Namur, Belgium, in August 1970. He received the Electrical Engineering degree and the PhD degree from the Université catholique de Louvain (UCL), Louvain-la-Neuve, Belgium, in 1993 and 1997, respectively. From 1993 to 1997, he was the co-ordinator of the medical image analysis group of the Communications and Remote Sensing Laboratory at UCL, mainly working on medical image analysis. Dr Jean-Philippe Thiran joined the Signal Processing Institute (ITS) of the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland, in February 1998 as a senior lecturer. He was promoted to Assistant Professor in 2004, to Associate Professor in 2011 and is now a Full Professor since 2020. He also holds a 20% position at the Department of Radiology of the University of Lausanne (UNIL) and of the Lausanne University Hospital (CHUV) as Associate Professor ad personam. Dr Thiran's current scientific interests include
Computational medical imaging: acquisition, reconstruction and analysis of imaging data, with emphasis on regularized linear inverse problems (compressed sensing, convex optimization). Applications to medical imaging: diffusion MRI, ultrasound imaging, inverse planning in radiotherapy, etc.Computer vision & machine learning: image and video analysis, with application to facial expression recognition, eye tracking, lip reading, industrial inspection, medical image analysis, etc.
Hilal Lashuel2012-2013 Visiting Professor, Standford University. Stanford School of Medicine
2011- Associate Professor of Life Sciences-Brain Mind Institute-EPFL
Dir. Laboratory of Chemical Biology of Neurodegeneration
2005-2011 Assistant Professor of Life Sciences-Brain Mind Institute-EPFL
Dir. Laboratory of Molecular Neurobiology and Neuroproteomics
2005-2008 Director- EPFL Proteomic Core Facility
2002-2004 Instructor of Neurology- Harvard Medical School and Brigham and Women's
Hospital
2001-2002 Sabbatical Fellow- Laboratory for Drug Discovery in Neurodegeneration
Harvard Medical School,
2001-2002 Post-doctoral Fellow- Center for Neurologic Diseases
Harvard Medical School and Brigham and Women's Hospital
Advisor- Prof. Peter T. Lansbury
2000-2001 Research Scientist, The Picower Institute for Medical Research, Great Neck
New York
1994-2000 PhD Student; Texas A&M University and the Scripps Research Institute
Advisor- Prof. Jeffery W. Kelly
1990-1994 B.S. City University of New York, Brooklyn College
Dr. Hilal A. Lashuel received his B.Sc. degree in chemistry from the City University of New York in 1994 and completed his doctoral studies at Texas A&M University and the Scripps Research Institute in 2000. After obtaining his doctoral degree, he became a research fellow at the Picower Institute for Medical Research in Long Island New York. In 2001, he moved to Harvard Medical School and the Brigham and Women's Hospital as a research fellow in the Center for Neurologic Diseases and was later promoted to an instructor in neurology at Harvard Medical School. During his tenure (2001-2004) at Harvard Medical School his work focused on understanding the mechanisms of protein misfolding and fibrillogenesis and the role of these processes in the pathogenesis of Parkinson's and Alzheimer's disease. In 2005 Dr. Lashuel moved Switzerland to join the Brain Mind Institute at the Swiss Federal Institute of Technology Lausanne as a tenure-track assistant professor in neurosciences. Currently, Dr. Lashuel is an associate professor of life sciences and the director of the laboratory of molecular and chemical biology of neurodegeneration. (http://lashuel-lab.epfl.ch/).
Research efforts in the Lashuels laboratory focus on understanding the molecular mechanisms of neurodegeneration and developing novel strategies to diagnose and treat neurodegenerative diseases such as Alzheimers and Parkinsons disease. Research in the Lashuel lab is funded by several international funding agencies and foundations, including the Swiss National Science Foundation, European FP7 program (Marie Curie and ERC grants), Human Science Frontiers, Strauss Foundation, Cure the Huntingtons disease foundation and Michael J Fox foundation and is supported by collaborations with pharmaceutical and biotech companies (http://lashuel-lab.epfl.ch/page-50538-en.html), Nestle, Merck-Serono, AC Immune and Johnson and Johnson.
Dr. Lashuels research has resulted in the characterization of novel quaternary structure intermediates on the amyloid pathway, identification of potential therapeutic targets, and new hypotheses concerning the mechanisms of pathogenesis in Alzheimers disease, Parkinsons disease and related disorders. Dr. Lashuel scientific contribution to this field includes i) more than100 publications in major peer reviewed journals including Nature journals, Cell, PNAS, JBC, J. Neuroscience JACS, and Angewandtie Chemie; ii) three patents on novel strategies for preventing protein aggregation and treating autoimmune and inflammatory diseases; iii) more than 150 invited lectures since 2002 and more than 5500 citations (7800 citation-Google Scholar) since 1996. Dr. Lashuel has received several pre-doctoral and post-doctoral awards and fellowships and was the recipient of two prestigious awards given to young investigators; Human Science Frontiers young investigator research award and the European Research Council (ERC) starting independent researcher grant and the ERC proof of concept award (2013) These awards provide more than $2.5 Million to Dr. Lashuel to translate some of his ideas and projects into novel strategies for diagnosing and treating neurodegenerative diseases such as Alzheimers and Parkinsons disease. Dr. Lashuel has chaired and co-organized several international conferences and serves as an academic editor for PLoS ONE, an associate editor for frontiers of molecular neuroscience, member of the Editorial advisory board of ChemBioChem and ad hoc reviewer for several international scientific journals and funding agencies. Robert WestRobert West is a tenure-track assistant professor of computer science at EPFL, where he heads the Data Science Lab. In his research, he develops and applies techniques in machine learning, computational social science, natural language processing, social network analysis, and data mining. Bob also collaborates closely with the Wikimedia Foundation, in his role as a Wikimedia Research Fellow. Bob’s work has won several awards, including best/outstanding paper awards at ICWSM’21, ICWSM’19, and WWW’13, a best-paper runner-up award at WWW’16, a Google Faculty Research Award, a Facebook Research Award, a Hewlett-Packard Graduate Fellowship, and a Facebook Graduate Fellowship. He is actively involved in the research community, e.g., as an Associate Editor of ICWSM and EPJ Data Science and as a co-founder of the Wiki Workshop (held at WWW and ICWSM) and the Applied Machine Learning Days. Bob received his PhD in Computer Science from Stanford University, his MSc from McGill University, Canada, and his undergraduate degree from Technische Universität München, Germany.[Last updated: 25 Aug 2021]
Manoel Horta RibeiroI'm a first year PhD student at EPFL🇨🇭 working at dlab with Bob West. I'm also a member of iDrama🎭. My research focuses on the dynamics of content creation and consumption in Social Networks and Fringe Communities I received my B.S./M.S. in Computer Science from UFMG🇧🇷, where I worked with Wagner Meira Jr. and Virgílio Almeida.
The research I've been involved with has been published in venues such as: the Web Conference (WWW), the AAAI International Conf. on Weblogs and Social Media (ICWSM), the ACM Conf. on Fairness, Accountability, and Transparency (FAccT), and Nature Communications. Also, it has received substantial media attention, getting covered by WIRED, MIT Tech Review, NBC, and others.
Valerio ZerbiDr. Valerio Zerbi is a pioneer of preclinical magnetic resonance functional neuroimaging. At his lab at EPFL, Valerio and his team use functional MRI recordings in rodents in combination with neural modulation and computational approaches to study the mechanisms that link cellular activity to large-scale network (dys)function. His long-term ambition is to advance the development of personalised strategies based on imaging and artificial intelligence, for the diagnosis and prognosis of developmental brain disorders. Valerio is the recipient of the ETH Postdoctoral (2014), the Swiss National Science Foundation AMBIZIONE
(2017) and ECCELLENZA (2021) fellowships.
