Luciano Andres AbriataEnseignement et PhD Cours Basic and advanced NMR - Level 1 A (EPFL) CH-601(x) Basic and advanced NMR - Level 2 (EPFL) CH-703 The goal is to give a sound theoretical and practical foundation in NMR for various applications in research. PhD students and post-docs who have followed the course successfully should be able to perform modern multi-dimensional NMR experiments independently. Integrative structural biology for Life sciences BIO-643 Recombinant protei
Sara BonellaEnseignement et PhD Doctorant·es actuel·les Edrick Solís González, Thibault Kläy, Paula Sierra i Varela, Federica Troni A dirigé les thèses EPFL de Jérémie Marc Bertrand, Taylor James Baird Cours Computational methods in molecular quantum mechanics CH-452 Le cours enseignerait les méthodes principales pour la simulation des propriétés quantique dependant du temps pour systèmes moléculaires. Les notions de base de density functional theory seront discutés. Effects quantiques nucleaires sero
Suliana ManleyExpertise
Super-resolution fluorescence microscopy, single molecule imaging in cells, cellular biophysics, bacterial cell cycle
Enseignement et PhD Doctorant·es actuel·les Emine Berna Durmus, Santiago Nicolás Rodriguez Alvarez, Laila Elfeky, Alara Kiris, Hale-Seda Ivo Radoykova A dirigé les thèses EPFL de Julia Gunzenhäuser, Aleksandr Benke, Lina Carlini, Andrea Callegari, Aster Louis K Vanhecke, Anna Archetti, Dora Mahecic, Timo Henry René Rey, Julius Winter, Chen Zhang, Jenny Sülzle, Sheda Ben Nejma Cou
Marion LeleuExpertise
BioinformaticsGenomicsHight-Throughput SequencingData Mining
Volkan CevherVolkan Cevher received the B.Sc. (valedictorian) in electrical engineering from Bilkent University in Ankara, Turkey, in 1999 and the Ph.D. in electrical and computer engineering from the Georgia Institute of Technology in Atlanta, GA in 2005. He was a Research Scientist with the University of Maryland, College Park from 2006-2007 and also with Rice University in Houston, TX, from 2008-2009. Currently, he is an Associate Professor at the Swiss Federal Institute of Technology Lausanne and a Faculty Fellow in the Electrical and Computer Engineering Department at Rice University. His research interests include machine learning, signal processing theory, optimization theory and methods, and information theory. Dr. Cevher is an ELLIS fellow and was the recipient of the Google Faculty Research award in 2018, the IEEE Signal Processing Society Best Paper Award in 2016, a Best Paper Award at CAMSAP in 2015, a Best Paper Award at SPARS in 2009, and an ERC CG in 2016 as well as an ERC StG in 2011.
Andrea AblasserEnseignement et PhD Doctorant·es actuel·les Ekaterina Gorbacheva, Iris Arianna Dorschel, Tieliang Gan, Yu Meng A dirigé les thèses EPFL de Simone Margret Haag, Sélène Glück, Marilena Wischnewski, Sophie Rivara, Natasha Samson Cours Immunology - advances and therapeutic implications BIO-479 Les étudiants acquièrent des connaissances de niveau avancé sur le fonctionnement du système immunitaire (vertébré). L'accent est mis sur les mécanismes moléculaires qui déterminent les réponses immunita
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.
Francesco StellacciFrancesco Stellacci graduated in Materials Engineering at the Politecnico di Milano in 1998 with a thesis on photochromic polymers with Prof. Giuseppe Zerbi and Mariacarla Gallazzi. In 1999 he moved to the Chemistry Department of the University of Arizona for as a post-doc in the group of Joe Perry in close collaboration with the group of Seth Marder. In 2002 he moved to the Department of Materials Science and Engineering at the Massachusetts Institute of Technology as an assistant professor. He was then promoted to associate without (2006) and with tenure (2009). In 2010 he moved to the Institute of Materials at EPFL as a full Professor. He holds the Alcan EP Chair. Francesco was one of the recipients of the Technology Review TR35 "35 Innovator under 35" award in 2005, and the Popular Science Magazine "Brilliant 10" award in 2007. He has been a Packard Fellow starting 2005.
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