Bruno Emanuel Ferreira De Sousa CorreiaThroughout my PhD and postdoctoral studies I was trained in world-renowned laboratories and institutions in the United States of America (University of Washington and The Scripps Research Institute). Very early in my scientific career I found out my fascination about protein structure and function. My PhD studies evolved in the direction of immunogen design and vaccine engineering which sparked my interest in the many needs and opportunities in vaccinology and translational research. My efforts resulted in an enlightening piece of work where for the first time, computationally designed immunogens elicited potent neutralizing antibodies. During my postdoctoral studies I joined a chemical biology laboratory at the Scripps Research Institute. In this stage I developed novel chemoproteomics methods for the identification of protein-small molecule interaction sites in complex proteomes. In March 2015, I joined the École Polytechnique Fédérale de Lausanne (EPFL) – Switzerland as a tenure track assistant professor. The focus of my research group is to develop computational tools for protein design with particular emphasis in applying these strategies to immunoengineering (e.g. vaccine and cancer immunotherapy). The activities in my laboratory focus on computational design methods development and experimental characterization of the designed proteins. Our laboratory has been awarded with 2 prestigious research grants from the European Research Council. Lastly, I have been awarded the prize for best teacher of Life sciences in 2019.
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
Mathieu HuruguenEnseignement et PhD Cours Algèbre linéaire (pour CMS) PREPA-001 Dans la première partie du cours on couvre des notions de langage ensembliste et de logique élémentaire. Dans la deuxième partie, le but est de familiariser les étudiants avec les notions fondamentales de l'algèbre linéaire à travers leur étude géométrique en dimension 2. Algèbre linéaire et géométrie (pour MAN) PREPA-032(a) On présente les notions fondamentales de l'algèbre linéaire dans le contexte géométrique
Elison de Nazareth MatioliEnseignement et PhD Doctorant·es actuel·les Hongkeng Zhu, Yuan Zong, Utku Agtas, Ibrahim Osama Elhagali, Mohammad Rezaei, Zheng Hao, Amirhossein Esteghamat, Ivan Krsic, Luca Mazzone, Önder Soydal, Francesco Marcantoni, Hakan Cankat Gür A dirigé les thèses EPFL de Jun Ma, Giovanni Santoruvo, Minghua Zhu, Riyaz Mohammed Abdul, Reza Soleiman Zadeh Ardebili, Armin Jafari, Catherine Erine, Taifang Wang, Nirmana Perera, Remco Franciscus Peter van Erp, Luca Nela, Mohammad Samizadeh Nikoo, Alessandro Floriduz A c
Cristian GalpertiExpertise
Electronics engineering Mechanical engineering Control systems
Enseignement et PhD Cours Control and Operation of Tokamaks PHYS-748
Simon GuilloudExpertise
I am a PhD student at EPFL working in the Laboratory of Automated Reasoning and Analysis with Prof. Viktor KunÄak.My main domains of research are proof assistants and algorithms for logic-related problems.
Expertise
I am a PhD student at EPFL working in the Laboratory of Automated Reasoning and Analysis with Prof. Viktor KunÄak.My main domains of research are proof assistants and algorithms for logic-related problems.
Cécile HardebolleTravail en cours
Responsible information systems (https://go.epfl.ch/digitalethics), ethical skills Jupyter notebooks for education (https://go.epfl.ch/notebooks), digital skills, computational thinkingTransversal/professional skillsEngineering design skillsFlipped classrooms Project-based learning
Formation Doctorat | Informatique 2006 – 2008 Université Paris-Sud XI, France Dirigée par Prof. Guy Vidal-Naquet Diplôme d'Ingénieur | Génie Electrique, spécialisat Sara BonellaEnseignement et PhD Doctorant·es actuel·les Edrick Solís González, Thibault Kläy, Paula Sierra i Varela, Federica Troni A dirigé les thèses EPFL de Jérémie Marc Bertrand, Taylor James Baird Cours Computational methods in molecular quantum mechanics CH-452 Le cours enseignerait les méthodes principales pour la simulation des propriétés quantique dependant du temps pour systèmes moléculaires. Les notions de base de density functional theory seront discutés. Effects quantiques nucleaires sero
Wendy Lee QueenEnseignement et PhD Doctorant·es actuel·les Pratap Narayan Soni, Pattaraphon Rodlamul, Matthieu Meoli, Olivier Thomas Smith, Sanjay Venkatachalam, Anne Faustine Sido Belin, Christopher William Gardner, Lorenzo Meneghin A dirigé les thèses EPFL de Mehrdad Asgari, Daniel Teav Sun, Ilia Kochetygov, Vikram Vinayak Karve, Anita Justin, Till Marian Schertenleib, Jocelyn Richard Roth, Timo Markus Oskar Felder Cours Coordination chemistry CH-222 Fondements de la chimie des composés decoordination.
Umar SheikhEnseignement et PhD Doctorant·es actuel·les Marta Pedrini Cours Atomic and radiative processes in plasmas PHYS-762
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.
Michalina Wanda PacholskaI’m quite bad at following a simple path. I studied inter-faculty math and science studies (mostly mathematics, some physics with just a pinch of chemistry and biology) at University of Warsaw. In 2016 I finished Masters with specialisation in topology and set theory. My master thesis was in (mathematical) signal processing, and I’ve been under guidance of Computational Biology Group. Then I have done an internship at Google Mountain View where I worked on C data processing pipeline. Came back to Europe to do PhD in computer science at EPFL, where I tried working on physically based rendering only to go back to settle in LCAV. Signal processing led me to Fourier optics and playing with lasers in the Galata Laboratory, but as cool it sounds, I wandered off towards localisation and SLAM. Oh, and I had a break last year, I went for an internship to DeepMind to fold some proteins.In the free time I draw cows for Helvetic Coding Contest :)
