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in a large number of scientific projects centred on information extraction and text analysis, both for present-time and historical documents.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.
Robert WestRobert West is a tenure-track assistant professor of computer science at EPFL, where he heads the Data Science Lab. In his research, he develops and applies techniques in machine learning, computational social science, natural language processing, social network analysis, and data mining. Bob also collaborates closely with the Wikimedia Foundation, in his role as a Wikimedia Research Fellow. Bob’s work has won several awards, including best/outstanding paper awards at ICWSM’21, ICWSM’19, and WWW’13, a best-paper runner-up award at WWW’16, a Google Faculty Research Award, a Facebook Research Award, a Hewlett-Packard Graduate Fellowship, and a Facebook Graduate Fellowship. He is actively involved in the research community, e.g., as an Associate Editor of ICWSM and EPJ Data Science and as a co-founder of the Wiki Workshop (held at WWW and ICWSM) and the Applied Machine Learning Days. Bob received his PhD in Computer Science from Stanford University, his MSc from McGill University, Canada, and his undergraduate degree from Technische Universität München, Germany.[Last updated: 25 Aug 2021]
Martin FröhlichExpertise
Trained Architect and Co-Founder of AFF Architekten Berlin / Lausanne
Teaching & PhD Courses Saxa Loquuntur: Culture of construction PENS-240 The course explores how material extraction, territorial change, trade, local traditions, and industrial production interconnect. By examining scales from territory to building detail, students learn how various professions interact to shape the built environment. Studio BA6 (Fröhlich M. & A.) AR-302(ag) Greenhouse Studies exp
Jo François TaillieuTeaching & PhD PhD Students Julien Heil Courses Architectural Tomography AR-129 This course situates the act of drawing as an act of spatial, constructive and contextual investigation. It introduces 2-D sectional drawing as a sociotechnical tool in architecture with a fundamental role in measuring, understanding and imagining complex and situated spatial conditions. Studio BA3 (Taillieu) AR-201(m) A house is the simple topic of this studio. A matter of simple complexity.
Paola ViganòTeaching & PhD PhD Students Noélie Marion Charlotte Lecoanet, Shyam Sunder Sirimalla Past EPFL PhD Students Roberto Sega, Antoine Vialle, Tommaso Pietropolli, Sylvie Tram Nguyen, Anna Karla De Almeida Milani, Elena Calafati, Flore Jeanne Marie Andrea Guichot Courses Hidden rivers PENS-219 Hidden Rivers aims at fulfilling the need for an interdisciplinary understanding of the problematics surrounding urban streams, through ecological, hydrological, and spatial relationships found in riversc
