|
21-22 Nov 2019 Paris (France)
|
Keynote speakersMarie-Liesse Doublet
ICGM - Equipe CTMM, UMR 5253 - CNRS/UM/ENSCM, Université de Montpellier Marie-Liesse Doublet is Full Research Professor (CNRS) at the Institut Charles Gerhardt in Montpellier. She heads the Theoretical Chemistry laboratory of ICGM and the Theory group of the French Network on Electrochemical Energy Storage (RS2E). She began her carrier in the field of electron transport in low-dimensional materials prior to enter the field of energy materials for Li-ion batteries in 2000. Her main research interest is to develop new methodologies and to use simple concepts of chemical bonds to rationalize the electrochemical performances of Li-materials, from bulk to interface. She received her PhD in 1994 from the University of Paris-Sud Orsay under the supervision of Professor E. Canadell and spent a year as a post-doctoral fellow with Prof. Baerends at the Vrije Universiteit of Amsterdam before getting a permanent position at CNRS in 1995 (Montpellier).
Esther Kellenberger
Laboratoire d'Innovation Therapeutique UMR7200 CNRS Université de Strasbourg Esther Kellenberger obtained a Ph.D. (with Bruno Kieffer) in biophysics from Strasbourg University, France, in 2000. She was a Von Humboldt fellow (with Michael Sattler) at the European Molecular Biology Laboratory, Germany, in 2001. She has since worked in the faculty of Pharmacy (with Didier Rognan), Strasbourg University, where she is Professor of computer-aided drug design. Her research activities are focused on the structure-based discovery of active molecules. She is particularly interested in understanding and modeling molecular recognition (mining of the Protein Data Bank, docking and site comparison methods for virtual screening, function of the chemokine receptor CCR5)
Jan Wenzel
Scientist Computational and Systems Toxicology Sanofi-Aventis Deutschland GmbH R&D, Preclinical Safety – Global Operations Germany Jan Wenzel studied chemistry at the Goethe University Frankfurt, focusing research projects in computational quantum chemistry. His PhD was received from the University of Heidelberg, where he conducted fundamental research for simulation of X-ray absorption spectroscopy. Afterwards, Jan started as PostDoc at Sanofi in Frankfurt. The project’s focus was on deep learning in the field of safety big data analytics, to advance the capabilities to analyze, predict and optimize safety parameters of novel drug candidates. Currently, Jan is Scientist for computational and systems toxicology at Sanofi. |
| Online user: 12 |
|
