Elison de Nazareth MatioliEnseignement et PhD Doctorant·es actuel·les Hongkeng Zhu, Yuan Zong, Utku Agtas, Ibrahim Osama Elhagali, Mohammad Rezaei, Zheng Hao, Amirhossein Esteghamat, Ivan Krsic, Luca Mazzone, Önder Soydal, Francesco Marcantoni, Hakan Cankat Gür A dirigé les thèses EPFL de Jun Ma, Giovanni Santoruvo, Minghua Zhu, Riyaz Mohammed Abdul, Reza Soleiman Zadeh Ardebili, Armin Jafari, Catherine Erine, Taifang Wang, Nirmana Perera, Remco Franciscus Peter van Erp, Luca Nela, Mohammad Samizadeh Nikoo, Alessandro Floriduz A c
Cécile HardebolleTravail en cours
Responsible information systems (https://go.epfl.ch/digitalethics), ethical skills Jupyter notebooks for education (https://go.epfl.ch/notebooks), digital skills, computational thinkingTransversal/professional skillsEngineering design skillsFlipped classrooms Project-based learning
Formation Doctorat | Informatique 2006 – 2008 Université Paris-Sud XI, France Dirigée par Prof. Guy Vidal-Naquet Diplôme d'Ingénieur | Génie Electrique, spécialisat 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.
Wendy Lee QueenEnseignement et PhD Doctorant·es actuel·les Pratap Narayan Soni, Pattaraphon Rodlamul, Matthieu Meoli, Olivier Thomas Smith, Sanjay Venkatachalam, Anne Faustine Sido Belin, Christopher William Gardner, Lorenzo Meneghin A dirigé les thèses EPFL de Mehrdad Asgari, Daniel Teav Sun, Ilia Kochetygov, Vikram Vinayak Karve, Anita Justin, Till Marian Schertenleib, Jocelyn Richard Roth, Timo Markus Oskar Felder Cours Coordination chemistry CH-222 Fondements de la chimie des composés decoordination.
Andreas ZüttelEnseignement et PhD Doctorant·es actuel·les Boyu Ouyang, Wai Kwan Liu, Guillaume Bérenger Rod, Aleksandar Mihaylov Mikov, Rui Li, Akhil Varma Penmathsa A dirigé les thèses EPFL de Robin Tobias Andreas Mutschler, Kun Zhao, Loris Giovanni Lombardo, Mo Li, Jie Zhang, Youngdon Ko, Cedric David Koolen, Thi Ha My Pham, Zohreh Akbari, Yasemen Kuddusi Cours Thermodynamics of energy conversion and storage ChE-414 Intro à la conversion d'énergie. Accent mis sur la thermodynamique des moteurs système
Cristian GalpertiExpertise
Electronics engineering Mechanical engineering Control systems
Enseignement et PhD Cours Control and Operation of Tokamaks PHYS-748
André ChatelExpertise
Micro and NanotechnologiesMicroelectronicsSolid State PhysicsQuantum Physics
Born in Aosta (Italy) in 1996, I obtained a 110L/110 Bachelor degree in Physical Engineering from Politecnico di Torino in 2018. I then followed a Master joined program in Nanotechnologies for ICTs, shared between PoliTO, INPG-Phelma and EPFL, getting graduated in 2020, with a 110L/110 score.In summer 2019, I joined Dr. Sallese group at EPFL-EDLAB to carry out an internship in modeling and simulation of radiation-induced
David Richard HarveyEnseignement et PhD Doctorant·es actuel·les Ethan Daniel Tregidga, Felix Francisco Vecchi Cours Lecture series on scientific machine learning PHYS-754 Ce cours présente des travaux sur la façon dont les questions scientifiques peuvent être abordées à l'aide de l'apprentissage automatique. L'apprentissage automatique permet d'extraire des connaissances à partir de données de manière automatisée. Nous apprendrons à partir d'exemples concrets.
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