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in a large number of scientific projects centred on information extraction and text analysis, both for present-time and historical documents.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 HursinCurrent work
I'm currently heavily involved in the nuclear data community and with technical work towards the improvement of the latest version of the European library (JEFF). I'm leading an OECD/NEA subgroup in that direction. I'm also leading a Euratom project towards the production of multi-physics experimental data suitable for the validation of high-fidelity, high-resolution simulation tools.
After a doctoral thesis on the high-fidelity modeling of control rod ejection in a pressurized water reactor at
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 WienoldExpertise
DaylightingVisual ComfortBuilding Performance SimulationIntegrated DesignZero Energy Buildings
Dr. Jan Wienold is a leading expert in daylight research, visual comfort, and building performance simulation. His work focuses on understanding how daylight affects human perception and well-being, and on translating this knowledge into tools, metrics, and standards that shape climate-responsive and user-centered building design. He is internationally recognized for developing the Daylight Glare Probabi
Elena VagnoniElena Vagnoni graduated in Mechanical Engineering from the Politecnico of Milan in 2013, and she obtained her PhD in Mechanics at EPFL in 2018. Since 2022 she is the head of research projects group at the EPFL Technology Platform for Hydraulic Machines. Before her current position, she was a research assistant fellow at Johns Hopkins University and a SNSF-fellow guest scientist at the Norwegian University of Science and Technology. She is the Swiss expert for the Annex IX of the International Energy Agency
Maria Giulia PretiMaria Giulia Preti received her Ph.D. in Bioengineering at Politecnico di Milano (Milan, Italy) in 2013, after her M. Sc. (2009) and B. Sc. (2007) in Biomedical Engineering, as well at Politecnico di Milano. During her Ph.D., mentored by Prof. Giuseppe Baselli, she focused on advanced techniques of brain magnetic resonance imaging, in particular she developed a method of groupwise fMRI-guided tractography, that revealed to be useful in the in-vivo investigation of the pathophysiological changes across the evolution of Alzheimers disease. For this project, she had been collaborating full-time with the hospital Fondazione Don Gnocchi in Milan (Magnetic Resonance Laboratory). In 2011, she was awarded a Progetto Rocca fellowship from MIT-Italy and spent a visiting research period at the MIT and Harvard Medical School (Boston, USA), under the supervision of Prof. Nikos Makris, where she could focus on the anatomical study of specific neruonal bundles.
She has joined Prof. Van De Ville group at EPFL as a post-doc in 2013. Her current research aims at understanding the connections between brain functionality and brain microscopic anatomy by using advanced techniques of Magnetic Resonance Imaging. In particular, she is working on functional MRI, functional connectivity, diffusion tensor imaging and tractography, integration of MRI with other techniques (e.g. EEG), and the application of these methods to several clinical contexts, e.g., epilepsy, Alzheimer's disease and mild cognitive impairment, multiple sclerosis, attention deficit hyperactivity disorder.
