Elisa OricchioExpertise
Cancer geneticsMouse modelsTherapyStem cellsLymphoma
Teaching & PhD PhD Students Vamsi Krishna Polavarapu, Asli Ece Kasapoglu, Konstantina Georgakopoulou, Eleni Balli Past EPFL PhD Students Maria Christine Donaldson, Elena Battistello, Daniel Pereira Duarte, Frédérica Schyrr, Ruxandra-Andreea Lambuta, Aaron Simone Petruzzella, Jixing Zhong, Justine Epiney Courses Cancer biology I BIO-471 The course covers in detail molecular mechanisms of cancer development with emphasis on cell
Wendy Lee QueenTeaching & PhD PhD Students Pratap Narayan Soni, Pattaraphon Rodlamul, Matthieu Meoli, Olivier Thomas Smith, Sanjay Venkatachalam, Anne Faustine Sido Belin, Christopher William Gardner, Lorenzo Meneghin Past EPFL PhD Students Mehrdad Asgari, Daniel Teav Sun, Ilia Kochetygov, Vikram Vinayak Karve, Anita Justin, Till Marian Schertenleib, Jocelyn Richard Roth, Timo Markus Oskar Felder Courses Chemical engineering practice ChE-309 This course provides the students with practical experience wit
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
Hannes Markus PeterCurrent work
I am a microbial ecologist and mainly interested in factors shaping bacterial communities and functioning in freshwater ecosystems. I use combinations of field observations, experiments and molecular techniques to test hypotheses regarding the assembly of microbial communities, the influence of environmental variability and relationships between diversity and funcioning. I enjoy working in alpine environments, which are sensitive to climate change and represent excellent model systems.
Teaching
Natalya KatanayevaTeaching & PhD Courses Practical - Oricchio Lab BIO-603(O) Training in hemato-oncology. Analysis and genetic manipulation of hematopoietic progenitor cells.Morphological recognition of main hematopoietic lineages.
Marie Estelle Solange ViolayExpertise
-Rock mechanics-Rock physics-Fault and earthquake mechanics-Hydro-mechanical couplings
Teaching & PhD PhD Students Cindy Mikaelian, Francesco Lazari, Franco Matías Robbiano Muñoz, Karin Andrea Hofer Apostolidis, Andrea Mazzeo Past EPFL PhD Students Felipe Orellana, Mateo Acosta, Chiara Cornelio, Corentin Noël, Federica Paglialunga, Antoine Guggisberg Courses Designing Testing Machines for Geomechanics ME-700 Develop your own machines to meet your scientific needs. Learn how to bu
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
Paolo BenettinI was born in Padova, Italy, in 1986. After high school, I started the Environmental Engineering program at the University of Padova (Bachelor and Master), where I followed the 'soil protection' curriculum. During my Master studies I spent a semester as Erasmus student at Wageningen University (Wageningen, the Netherlands) to follow courses in Hydrology. After graduation, I decided to bring my education further and I started a Ph.D. at the civil and environmental engineering department at the University of Padova. My Ph.D. thesis focused on hydrologic transport and travel time distributions at the catchment scale. My contribution to the subject included both new theoretical formulations and extensive numerical applications to real catchments. During my Ph.D., I also spent 7 months as visiting research fellow at Virginia Tech University (Blacksburg, USA). Since I arrived at EPFL as post-doc in 2015, I started being involved in field and experimental activities, which allowed me to learn about practical experimental problems. In 2017 I had the opportunity to by hired by the ECHO laboratory as a permanent scientist, conducting research in the field of catchment hydrology.
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.
Amaury Pierre Jiezhi WeiExpertise
Deep Learning, Computer Vision, Physics Informed Machine Learning, Graph Neural Networks
Amaury obtained his Master's degree in Robotics from the Federal Institute of Technology in Lausanne (EPFL) in 2021.Before joining IMOS, he worked for multiple years at Logitech Europe S.A. as a Software Engineer in the field of Augmented and Virtual Reality. He researched 6DoF tracking solutions for handheld devices, developed the firmware and designed the testing strategy for the MR Stylus MX Ink.During his
