Johanni Michael BreaEnseignement et PhD Doctorant·es actuel·les Aude Maier, Lucas Louis Gruaz, Flavio Martinelli Cours Biological data science II : machine learning BIO-322 Les étudiants comprennent les concepts et méthodes de base d'apprentissage automatique. Ils savent les décrire en termes mathématiques et ils savent les appliquer aux données en utilisant un langage de haut niveau (julia/python/R). Intelligence artificielle et société HUM-286 Ce cours intègre les SHS avec les sciences de l'
Amaury Pierre Jiezhi WeiExpertise
Deep Learning, Computer Vision, Physics Informed Machine Learning, Graph Neural Networks
Amaury a obtenu son Master en Robotique de l'Ecole Polytechnique Federale de Lausanne (EPFL) en 2021. Avant de rejoindre IMOS, il a travaillé pendant plusieurs années en tant que Software Engineer chez Logitech Europe S.A. dans le domaine de la Réalité Virtuelle et Augmentée. Il a développé des algorithmes de 6DoF tracking pour appareils portables, développé le firmware et conçu la stratégie de testing industr
Bryan Alexander FordEnseignement et PhD Doctorant·es actuel·les Shailesh Mishra A dirigé les thèses EPFL de Eleftherios Kokoris Kogias, Kirill Nikitin, Cristina Basescu, Enis Ceyhun Alp, Simone Colombo, Pasindu Nivanthaka Tennage, Louis-Henri Manuel Jakob Merino A co-dirigé les thèses EPFL de David Froelicher, Ludovic Barman, Georgia Fragkouli Cours Decentralized systems engineering CS-438 Un système est décentralisé lorsque son fonctionnement et sa sécurité ne dépendent d'aucune partie. Ce cours enseigne les
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in a large number of scientific projects centred on information extraction and text analysis, both for present-time and historical documents.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.
Yifan HuExpertise
Optimization, Operations Research, Reinforcement Learning
I am a Postdoc with Prof. Daniel Kuhn from EPFL and Prof. Andreas Krause from ETH Zurich. Prior to that, I got my PhD in Operations Research from University of Illinois at Urbana-Champaign, advised by Prof. Xin Chen and Prof. Niao He. My research interest lies in data-driven decision-making with problems arising from optimization, operations research, and statistics. See Research for research directions and Publication for papers.
Anna Timonina-FarkasAnna Timonina-Farkas is a scientific researcher in the field of Operations Research and Operations Management at TOM EPFL. Her focus is on theory and data-driven solution methods in multi-stage optimization under model and decision-dependent uncertainties. Before joining EPFL, she served as a Research Scholar at the Risk, Policy and Vulnerability program at the International Institute for Applied Systems Analysis (Vienna, Austria), developing optimal governmental strategies for natural disaster risk-managem
Brice Tanguy Alphonse LecampionI am currently an assistant Professor and the head of the Geo-Energy Lab - Gaznat Chair on GeoEnergy at Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland. Prior to joining EPFL, I have worked for Schlumberger in research and development from 2006 until May 2015 - serving in a variety of roles ranging from project manager to principal scientist in both Europe and the United States. I received my PhD in mechanics from Ecole Polytechnique, France in 2002 and worked as a research scientist in the hydraulic fracturing research group of CSIRO division of Petroleum resources (Melbourne, Australia) from 2003 to 2006. During my time in Schlumberger R&D, I have worked on problems related to the integrity of deep wells, large scale monitoring of reservoir deformation and more specifically on the stimulation of oil and gas wells by hydraulic fracturing. My current research interests cover hydraulic fracture mechanics, mechanics of porous media and dense suspensions flow.
