Federico TerziEnseignement et PhD Cours Musique, politique, société I HUM-406 Ce cours propose d'étudier la présence de particularités musicales exotiques (populaires et folkloriques) - en Europe et au-delà - dans la musique classique (XVIIe-XXe siècles). Il débouche sur la rédaction d'un travail de recherche en groupe (ou individuel) sur un sujet lié à cette thématique. Musique, politique, société II HUM-458 Ce cours propose d'étudier la présence de particularités musicales exotiques (pop
Zoë HolmesEnseignement et PhD Doctorant·es actuel·les Ricard Puig, Sacha Lerch, Reyhaneh Aghaei Saem, Shao Hen Chiew, Weijie Xiong, Marc Sanz Drudis, Mehrad Sahebi, Manuel Rudolph Cours Quantum information theory PHYS-550 Après avoir revu les bases de la théorie quantique du point de vue de la théorie de l'information, nous couvrirons des sujets plus avancés en théorie de l'information quantique tels que les mesures de l'information quantique et la compréhension des états, canaux et mesures quantiqu
Antoine BosselutAntoine Bosselut is an assistant professor at EPFL. He leads the EPFL NLP group, which conducts research on natural language processing (NLP) systems that can model, represent, and reason about human and world knowledge.
Prior to joining EPFL, he was a postdoctoral researcher at Stanford University working in the
SNAP
and
NLP
groups and a young investigator on the
Mosaic
project at the
Allen Institute for AI
. He completed his PhD at the University of Washington.
Anne-Florence Raphaëlle BitbolI was trained in physics, and always had a strong interest in biology. I am broadly interested in understanding biological phenomena in a quantitative way, through physical concepts and mathematical and computational tools. I investigate the relative impacts of optimization and historical contingency in biological evolution, both at the scale of protein sequences and at the scale of microbial populations.Here is my research group website.Curriculum vitae Here is my complete CV. Professional experience:Since
Maria ColomboEnseignement et PhD Doctorant·es actuel·les Roberto Colombo, Antonio Tirotta, Carl Johan Peter Johansson, Giulia Mescolini A dirigé les thèses EPFL de Luigi De Rosa, Silja Noëmi Aline Haffter, Massimo Sorella Cours Analysis IV - Lebesgue measure, Fourier analysis MATH-205 Apprendre les bases de l'intégrale de Lebesgue et l'analyse de Fourier. Topics on the Euler and Navier-Stokes equations MATH-647
Leonid MoninEnseignement et PhD Cours Algebra III - rings and fields MATH-215 C'est un cours introductoire dans la théorie d'anneau et de corps. Analyse I (anglais) MATH-101(en) Étudier les concepts fondamentaux d'analyse et le calcul différentiel et intégral des fonctions réelles d'une variable. Topology III - Homology MATH-323 L'homologie est l'un des outils les plus importants pour étudier les espaces topologiques et elle joue un rôle important dans de nombreux domaine
Gabriele CecchettiAfter being awarded an MPhil at the Centre for Music and Science (University of Cambridge), Gabriele Cecchetti joined the Digital and Cognitive Musicology Lab (EPFL) as a doctoral assistant in 2019. In Rome, his hometown, he previously graduated in physics (Università ‘La Sapienza’) and as a cellist (Conservatorio ‘S. Cecilia’). His research interests lie on a spectrum spanning from music analysis and performance to the mathematical and theoretical modelling of the cognitive underpinnings of the experience of music. For his master’s project, he focused on a small-scale information-theoretic model of tonal affinity based on psychoacoustic and neuroscientific insight. Within the ERC-funded project ‘Principles of Musical Structure Building’ he will engage with matching theoretical and computational approaches with empirical cognitive and psychological frameworks. He is also an experienced musician with a particular devotion to chamber music, and has been extensively involved in music teaching over several years of collaboration with the educational programs of the National Academy ‘S. Cecilia’ in Rome.
Steffen Alexander HerffSteffen graduated in Psychology at the Heinrich-Heine University Duesseldorf in Germany before going on to complete his PhD at the MARCS Institute for Brain, Behaviour, and Development focusing on 'Memory for Melody' in 2017, under the supervision of Prof. Roger Dean and Dr. Kirk Olsen.After his PhD, Steffen secured a DAAD-UA grant to conduct the "Noisy Ear" project in Germany, exploring context effects of background noise on memory before accepting a position at the Agency for Science, Technology and Research in Singapore, where he worked on Statistical Learning and memory paradigms in the auditory domain.Steffen's research is situated at the intersection between Memory, Music, and Neuroscience. His diverse interests and background have made him an integral part of many inter-disciplinary projects. These projects range from fundamental memory, learning, and perception research, over social negotiation between musical co-performers and the creation of new compositional tools, to non-invasive and invasive brain imaging in musical rhythm perception as well as brain stimulation to modulate memory encoding. Steffen strongly believes that inter-disciplinary research is the key to tackle complex, multi-facetted research questions.
Johannes HentschelAvant de commencer son doctorat à l'École Polytechnique Fédérale de Lausanne (EPFL), Johannes Hentschel a étudié pédagogie de musique, théorie de musique et français à Fribourg-en-Brisgau, Lübeck et Helsinki. Accordéoniste, chanteur et chef de chorale diplômé, il est avant tout maître de conférences en théorie de musique. Depuis 2018, il poursuit des études doctorales d'Humanités Digitales à l'EPFL. Sous la direction du professeur Martin Rohrmeier au sein du Digital and Cognitive Musicology Lab (DCML) Johannes prépare sa thèse sur les changements diachroniques de styles musicaux, approfondissant ses connaissances dans la construction de corpus et l'organisation de métadonnées.
