Bruno Emanuel Ferreira De Sousa CorreiaThroughout my PhD and postdoctoral studies I was trained in world-renowned laboratories and institutions in the United States of America (University of Washington and The Scripps Research Institute). Very early in my scientific career I found out my fascination about protein structure and function. My PhD studies evolved in the direction of immunogen design and vaccine engineering which sparked my interest in the many needs and opportunities in vaccinology and translational research. My efforts resulted in an enlightening piece of work where for the first time, computationally designed immunogens elicited potent neutralizing antibodies. During my postdoctoral studies I joined a chemical biology laboratory at the Scripps Research Institute. In this stage I developed novel chemoproteomics methods for the identification of protein-small molecule interaction sites in complex proteomes. In March 2015, I joined the École Polytechnique Fédérale de Lausanne (EPFL) – Switzerland as a tenure track assistant professor. The focus of my research group is to develop computational tools for protein design with particular emphasis in applying these strategies to immunoengineering (e.g. vaccine and cancer immunotherapy). The activities in my laboratory focus on computational design methods development and experimental characterization of the designed proteins. Our laboratory has been awarded with 2 prestigious research grants from the European Research Council. Lastly, I have been awarded the prize for best teacher of Life sciences in 2019.
Vassily HatzimanikatisDr. Vassily Hatzimanikatis is currently Associate Professor of Chemical Engineering and Bioengineering at Ecole Polytechnique Federale de Lausanne (EPFL), in Lausanne, Switzerland. Vassily received a PhD and an MS in Chemical Engineering from the California Institute of Technology, and his Diploma in Chemical Engineering from the University of Patras, in Greece. After the completion of his doctoral studies, he held a research group leader position at the Swiss Federal Institute of Technology in Zurich (ETHZ), Switzerland. Prior to joining EPFL, Vassily worked for three years in DuPont, Cargill, and Cargill Dow, and he has been assistant professor at Northwestern University, at Illinois, USA.
Vassilys research interests are in the areas of computational systems biology, biotechnology, and complexity. He is associate editor of the journals Biotechnology & Bioengineering, Metabolic Engineering and Integrative Biology, and he serves on the editorial advisory board of the journals Bioprocess and Biosystems Engineering, Journal of Chemical Technology and Biotechnology, and Industrial Biotechnology. He has written over 70 technical publications and he is co-inventor in three patents and patent applications.
Vassily is a fellow of the American Institute for Medical and Biological Engineering (2010), he was a DuPont Young Professor (2001-2004), and he has also received the Jay Bailey Young Investigator Award in Metabolic Engineering (2000), and the ACS Elmar Gaden Award (2011).
Giovanna AmbrosiniCurrent Position Senior Scientist, School of Life Sciences, Bioinformatics Competence Center, école Polythechnique Fédérale de Lausanne, Lausanne.Senior bioinformatician and software engineer with proven experience working in higher education institutions. Solid experience in scientific computing and web design. Proficient in physics and computational genomics, with a focus on high-throughput genomic sequencing data analysis (ChIP-seq, ATAC-seq, RNA-seq, scRNA-seq, and exome sequencing) and other types of
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.
Henning Paul-Julius StahlbergMission
We use high-resolution cryo-electron microscopy to study neurodegeneration and other protein systems. We also develop novel imaging technology in the areas of electron microscopy hardware and applications, sample preparation, data collection schemes, and data analysis software systems. The Stahlberg group is supported by the University of Lausanne, Faculty of Medicine and Biology, and by the EPFL, Faculty of Basic Sciences, Physics Institute. The LBEM is a research laboratory of both UNIL and EPFL.
Bernard SchneiderTeaching & PhD PhD Students Yesica Gloria, Christian Schellhaas Past EPFL PhD Students Vanessa Laversenne, Sameer Mohammad Khaleel Nazeeruddin, Emma Charlotta Källstig Past EPFL PhD Students as codirector Philippe Guillaume Coune, Emilda Pino, Elisabeth Anne Dirren, Aurélien Lathuilière, Wojciech Janusz Bobela, Lu Zheng, Cylia Cloé Rochat Courses Methods: from disease models to therapy BIOENG-518 This course will describe methods underlying translational approaches from disease modeling an
Laure MeninExpertise
Mass spectrometryLC-MS / GC-MSBiochemistryProteomicsToxinologyDrug discovery
Teaching & PhD Courses Mass spectrometry, principles and applications CH-728 The goal is to provide students with a complete overview of the principles and key applications of modern mass spectrometry and meet the current practical demand of EPFL researchers to improve structural analsis of molecules. Numerous instrumental aspects of mass spectrometry are described.
Marcel SalathéTeaching & PhD PhD Students Laura Espinosa Montalbán, Marouane Toumi, Rohan Singh Past EPFL PhD Students Gianrocco Lazzari, Martin Mathias Müller, Sharada Prasanna Mohanty Courses Digital epidemiology BIO-512 Epidemiology is foundational to medicine and public health. This course starts with the key principles of classical epidemiology, progressing through computational modeling techniques, and concluding with the digital approaches of today. Students will also develop a digital epidemiolo
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