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in a large number of scientific projects centred on information extraction and text analysis, both for present-time and historical documents.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.
Jessica Elke Dehler ZuffereyI studied Psychology as a major and Computer Science as a minor at the University of Erlangen-Nürnberg. My Master thesis which I did at Max-Planck-Institute for Psychological Research in Munich with Prof. Günter Knoblich was in the field of social cognition.The interest in applied research made me join the lab of Prof. Friedrich Hesse at the Knowlegde Media Research Center (KMRC) in Tübingen for my PhD in the field of computer-supported collaborative learning (CSCL). I investigated the benefit of knowledge awareness, i.e. knowing what the other learners in the group know, for communication and collaboration. The CHILI lab of Prof. Pierre Dillenbourg at EPFL welcomed me for a visiting PhD stay.After the PhD I worked at the University of Fribourg on gender-equal university teaching with Prof. Bernadette Charlier and Helene Füger. Later I joined EPFL as a postdoc in a project on technology-enhanced vocational training (Dual-T). During 4 years I worked on pedagogical innovation in the EdTech startup Coorpacademy which is part of the Swiss EdTech Collider. While I am grateful for the rich experiences outside of academia, I returned to EPFL when the Center for Learning Sciences opened in 2018 to take the challenge of being its executive director.
Mathieu HursinAprès une thèse de doctorat sur la modélisation haute fidélité d'ejection de barres de contrôle dans un réacteur à eau préssurisée à l'Université de Californie à Berkeley et un court postdoc à l'université du Michigan, j'ai passé les premières 8 années de ma carrière au Paul Scherrer Institut. Mes activités de recherche étaient principalement dédiées à developper des méthodes de propagation d'incertitudes dans les schémas de calculs déterministes utilisés pour la modélisation des centrales nucléaires suisse
Michele CeriottiMichele Ceriotti received his Ph.D. in Physics from ETH Zürich in 2010. He spent three years in Oxford as a Junior Research Fellow at Merton College. Since 2013 he leads the laboratory for Computational Science and Modeling in the Institute of Materials at EPFL. His research revolves around the atomic-scale modelling of materials, based on the sampling of quantum and thermal fluctuations and on the use of machine learning to predict and rationalize structure-property relations. He has been awarded the IBM Research Forschungspreis in 2010, the Volker Heine Young Investigator Award in 2013, an ERC Starting Grant in 2016, and the IUPAP C10 Young Scientist Prize in 2018.
Jan WienoldEnseignement et PhD Doctorant·es actuel·les Hanieh Khodaei Tehrani, Chui Ling Yuen A co-dirigé les thèses EPFL de Mandana Sarey Khanie, Kynthia Chamilothori, Giorgia Chinazzo, Geraldine Cai Ting Quek, Stephen William Wasilewski, Sneha Jain Cours Comfort and architecture: sustainable strategies AR-442 Ce cours offre une vue d'ensemble sur les évaluations de confort dans la conception architecturale et propose des stratégies passives et de basse énergie adaptées à assurer la meilleure qualit
Elena VagnoniEnseignement et PhD Doctorant·es actuel·les Nathan Justin Veuthey, Elie Saroufim, Sara Bocconi, Jonas Ariel Peter, Aron Dagur Beck A co-dirigé les thèses EPFL de Martin Seydoux, Aldo Leonardo Alerci Cours Hydraulic turbomachines ME-453 Cours de Master sur les turbomachines hydrauliques: principes de fonctionnement et conception des turbines à action et à réaction, des pompes et des pompes-turbines. Hydropower plants: generating and pumping units EE-456 Cours de Master sur l
Maria Giulia PretiEnseignement et PhD Doctorant·es actuel·les Flavia Petruso Cours Network Neuroscience: Methods & Applications EE-629
