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.
Freddy RadtkeFreddy Radtke obtained his Ph.D. in Molecular Biology from the University of Zürich in 1994. In 1995, he started his postdoctoral research in the laboratory of Michel Aguet at Genentech, Inc. (San Francisco, USA). In 1997, he returned to Switzerland with Michel Aguet and finished his postdoctoral fellowship at the Swiss Institute for Experimental Cancer Research (ISREC) in Lausanne. From 1999‑2005, he was a group leader and Associate Member at the Ludwig Institute for Cancer Research. Freddy Radtke then joined ISREC in January 2006 as a senior scientist and in July 2006, he was appointed Associate Professor at the EPFL School of Life Sciences
Michel BierlaireBorn in 1967, Michel Bierlaire holds a PhD in Mathematical Sciences from the Facultés Universitaires Notre-Dame de la Paix, Namur, Belgium (University of Namur). Between 1995 and 1998, he was research associate and project manager at the Intelligent Transportation Systems Program of the Massachusetts Institute of Technology (Cambridge, Ma, USA). Between 1998 and 2006, he was a junior faculty in the Operations Research group ROSO within the Institute of Mathematics at EPFL. In 2006, he was appointed associate professor in the School of Architecture, Civil and Environmental Engineering at EPFL, where he became the director of the Transport and Mobility laboratory. Since 2009, he is the director of TraCE, the Transportation Center. From 2009 to 2017, he was the director of Doctoral Program in Civil and Environmental Engineering at EPFL. In 2012, he was appointed full professor at EPFL. Since September 2017, he is the head of the Civil Engineering Institute at EPFL. His main expertise is in the design, development and applications of models and algorithms for the design, analysis and management of transportation systems. Namely, he has been active in demand modeling (discrete choice models, estimation of origin-destination matrices), operations research (scheduling, assignment, etc.) and Dynamic Traffic Management Systems. As of August 2021, he has published 136 papers in international journals, 4 books, 41 book chapters, 193 articles in conference proceedings, 182 technical reports, and has given 195 scientific seminars. His Google Scholar h-index is 68. He is the founder, organizer and lecturer of the EPFL Advanced Continuing Education Course "Discrete Choice Analysis: Predicting Demand and Market Shares". He is the founder of hEART: the European Association for Research in Transportation. He was the founding Editor-in-Chief of the EURO Journal on Transportation and Logistics, from 2011 to 2019. He is an Associate Editor of Operations Research. He is the editor of two special issues for the journal Transportation Research Part C. He has been member of the Editorial Advisory Board (EAB) of Transportation Research Part B since 1995, of Transportation Research Part C since January 1, 2006.
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]
Didier TronoAfter obtaining an M.D. from the University of Geneva and completing a clinical training in pathology, internal medicine and infectious diseases in Geneva and at Massachusetts General Hospital in Boston, Didier Trono embarked in a scientific career at the Whitehead Institute for Biomedical Research of MIT. In 1990, he joined the faculty of the Salk Institute for Biological Studies to launch a center for AIDS research. He moved back to Europe seven years later, before taking the reins of the newly created EPFL School of Life Sciences, which he directed from 2004 to 2012. He is now actively engaged in the efforts of Switzerland to integrate new technologies in the fields of precision medicine and personalized health.
