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.
Cristian GalpertiExpertise
Control systems design and commissioning, especially involving complex scientific research architectures. Electronics engineering, embedded systems design and programming. Mechanical engineering, servo actuator systems design and commissioning.
Current Work
In charge of the direction of the control systems service of the Swiss Plasma Center
Education Ph.D. in Computer Science | 2005 – 2009 Politecnico di Milano Master degree in Electronics Engineering | 1998
Elison de Nazareth MatioliTeaching & PhD PhD Students 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 Past EPFL PhD Students 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 Past EPFL PhD Students a
Sara BonellaExpertise
Simulation and modelling of condensed phase systems, quantum and classical dynamics and statistical mechanics, adiabatic dynamics for classical polarizable models and first principles simulations, classical charge transport for systems in external magnetic fields.
Expertise
Simulation and modelling of condensed phase systems, quantum and classical dynamics and statistical mechanics, adiabatic dynamics for classical polarizable models and first principles simulations, classical charge transport for
Johanni Michael BreaTeaching & PhD PhD Students Aude Maier, Lucas Louis Gruaz, Flavio Martinelli Courses Artificial intelligence and society HUM-286 This course integrates social sciences and humanities with engineering sciences, and introduces students to the social, technical and political issues surrounding artificial intelligence. Biological data science II : machine learning BIO-322 Students understand basic concepts and methods of machine learning. They can describe them in mathematical
Umar SheikhTeaching & PhD PhD Students Marta Pedrini Courses Atomic and radiative processes in plasmas PHYS-762 The course covers atomic structure, collisional-radiative (CR) processes, and spectroscopic techniques. Students learn to critically apply CR models, evaluate spectroscopic tools, and interpret experimental data obtained in different plasmas.
Maud EhrmannMaud Ehrmann is a research scientist at EPFL’s Digital Humanities Laboratory lead by Prof.
Frédéric Kaplan
. She holds a PhD in Computational Linguistics from the Paris Diderot Universtiy (Paris 7) and has been engaged in a large number of scientific projects centred on information extraction and text analysis, both for present-time and historical documents. Her main research interests span Natural Language Processing and Digital Humanities and include, among others, historical text annotation, historical data processing and representation, named entity recognition, and multilingual linguistic resources creation.
Her current work at the DHLAB focuses on
‘impresso - Media Monitoring of the Past’
, a SNF sinergia project she initiated with
Marten Düring
(
C2DH
) and
Simon Clematide
(
ICL
) and which aims at enabling critical analysis of historical newspapers. In addition to the overall project management, her contributions to this project include system design and data management, annotation and benchmarking and named entity processing. Besides, she participates to the activities of the
Venice Time Machine
, working particularly on information extraction and knowledge representation tasks. Previously, she worked on the
Garzoni
project where she supervised and contributed to the development of a web-based transcription and annotation interface - in collaboration with Orlin Topalov, and built a linked data-based historical knowledge base. She also contributed to the
Le Temps Digital Archives project
.
Prior to joining the DHLAB, she worked at the
Linguistics Computing Laboratory
at the Sapienza University of Rome with Roberto Navigli, where she worked on the
BabelNet
resource - a very large multilingual encyclopaedic dictionary and semantic network - and contributed to the
LIDER
project. Before that, she has been working for four years at the European Commission’s Joint Research Centre in Ispra, Italy, as member of the OPTIMA unit (now
Text and Data mining
unit), which develops innovative and application-oriented solutions for retrieving and extracting information from the Internet with a focus on high multilinguality. Together with Erik van der Goot,
Ralf Steinberger
, Hristo Tanev, Leo della Rocca and many others, she contributed to the development of the
Europe Media Monitor
(EMM). Prior, she worked at the Xerox Europe Research Centre in Grenoble, France (now
Naver Labs Europe
) in the Parsing & Semantics group led by Frédérique Segond, first as PhD candidate supported through a CIFRE grant under the supervision of
Caroline Brun
and
Bernard Victorri
, then as a post-doctoral researcher. There her research focused mainly on the automatic processing and fine-grained analysis of entities of interest, specifically named entities and temporal expressions.
Marcelo Baquero RuizTeaching & PhD PhD Students Michael Goddijn, Cyrille Sepulchre Past EPFL PhD Students as codirector Kadi Lyes Roland Courses Fusion and industrial plasma technologies PHYS-632 The course provides an overview of the technologies that are essential for fusion developments and for industrial plasmaapplications, highlighting the synergies between the two fields. The aim is to provide a combined theoretical andexperimental background to the various topics. General physics : mechanics (English
David Lyndon EmsleyCurrent Work
Our research centres on the development of new NMR spectroscopy experiments to determine the atomic-level structure and dynamics of complex materials and molecular systems, to solve a range of problems across disciplines.
Teaching & PhD PhD Students Ray Cowen, Ümmügülsüm Günes, Máté Visegrádi, Ruben Rodriguez Madrid Past EPFL PhD Students Dominik Józef Kubicki, Arthur César Pinon, Albert Hofstetter, Federico Maria Paruzzo, Baptiste Busi, Snaedis Björgvinsdóttir, Martins Balodis, Aditya Mishra
Paul DelrotExpertise
Volumetric printing, optics, photopolymers.
Current work
Investigating innovative laser-based additive manufacturing technologies.
Education PhD | Photonics 2018 Р2018 Ecole Polytechnique F̩d̩rale de Lausanne MSc | Optics 2014 Р2014 Institut d'Optique Graduate School MSc | Engineering Physics 2014 Р2014 Kungliga Tekniska H̦gskolan
