Ioannis RammosYannis Rammos is a postdoc at the EPFL Digital & Cognitive Musicology Lab and visiting piano faculty at European University Cyprus. An internationally active pianist and piano pedagogue trained in Russia, during the past two years he has been invited to deliver masterclasses, performances, and lectures at the Anton Bruckner Privatuniversität für Musik, the Estonian Academy for Music & Theater, the Russian Institute for Art History, and Conservatorium van Amsterdam, among other venues. Formerly a researcher in music theory at the Sibelius Academy, he completed his doctoral studies in piano and music theory at the CUNY Graduate Center and New York University, graduating from the latter with a Ph.D. in classical performance. His latest publications have appeared in
Music & Letters
,
Quodlibet
, and
Music Theory & Analysis
. His research spans Schenker studies, critical theory (especially of French poststructuralist origin), Russian music theory, and piano timbre studies. At EPFL he contributes to the Laboratory's overarching corpus initiative, focusing on the history of Western harmony and formalizations of Schenkerian tonal structures.
Francesco RomanoExpertise
Gyrotrons, Non-Neutral Plasma, Electric Space Propulsion, Helicon Plasma Thrusters, Atmosphere-Breathing Electric Propulsion
Current Work
The TRapped Electrons eXperiment - T-REX
Born in Sassari and grew up in Udine, I studied Aerospace Engineering for Bachelor, Master in Italy and I've earned my Ph.D. in Germany. I also graduated in organ and organ composition at the conservatory in Italy. I Love space, science, music (piano, organ, classical, classic rock), endurance and uphill cycling, classic
Martin SchrimpfExpertise
NeuroAI, computational neuroscience, computer vision, natural language processing, human alignment, startups [CV]
Mission
Modeling the brain: Martin's research focuses on a computational understanding of the neural mechanisms underlying natural intelligence in vision and language. To achieve this goal, he bridges Deep Learning, Neuroscience, and Cognitive Science, building artificial neural network models that match the brain’s neural representations in their internal processing and are aligned to
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
Alexander MathisAlexander studied pure mathematics with a minor in logic and theory of science at the Ludwig Maximilians University in Munich. For his PhD also at LMU, he worked on optimal coding approaches to elucidate the properties of grid cells. As a postdoctoral fellow with Prof. Venkatesh N. Murthy at Harvard University and Prof. Matthias Bethge at Tuebingen AI, he decided to study olfactory behaviors such as odor-guided navigation, social behaviors and the cocktail party problem in mice. During this time, he increasingly got interested sensorimotor behaviors beyond olfaction and started working on proprioception, motor adaption, as well as computer vision tools for measuring animal behavior.
In his group, he is interested in elucidating how the brain gives rise to adaptive behavior. One of the major goals is to synthesize large datasets into computationally useful information. For those purposes, he develops algorithms and systems to analyze animal behavior (e.g. DeepLabCut), neural data, as well as creates experimentally testable computational models.
Olga FinkEnseignement et PhD Doctorant·es actuel·les Han Sun, Leandro Von Krannichfeldt, Keivan Faghih Niresi, Zepeng Zhang, Vinay Sharma, Chenghao Xu, Raffael Pascal Theiler, Kevin Antonio Steiner, Sergei Garmaev, Amaury Wei A dirigé les thèses EPFL de Ismail Nejjar, Mengjie Zhao Cours Data Science for infrastructure condition monitoring CIVIL-332 Le cours couvrira les étapes pertinentes de la surveillance de l'état des infrastructures basée sur les données: l'acquisition des données, en passant p
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.
Daniel HarasimI am a Postdoctoral Researcher in Computational Musicology at the Digital and Cognitive Musicology Lab (DCML).My main research focus lies on probabilistic modeling of musical structures at the moment, combining approaches from machine learning, Bayesian statistics, computer linguistics, and music theory. Besides, I am studying and developing methods related to representation learning and probabilistic programming.In my PhD thesis The Learnability of the Grammar of Jazz: Bayesian Inference of Hierarchical Structures in Harmony, supervised by Martin Rohrmeier (EPFL) and Timothy O’Donnell (McGill University), I simulated how abstract knowledge about musical structure is learnable without a teacher from listening and engaging with music.In 2015, I earned a master’s degree in mathematics and computer science at the TU Dresden where I in particular worked on geometric structures of voice-leading spaces. My research interests further include topics from mathematical music theory, music cognition, and computational cognitive science. Aside from my academic activities, I enjoy playing the upright bass in Jazz improvisations.
Christoph FinkensiepSince 2017, Christoph is a doctoral researcher at the Digital andCognitive Musicology Lab. He obtained his Master's degree in CognitiveScience at the University of Osnabrück with a thesis entitled"A Formal Model of Voice Leading" (2017). His Bachelor in ComputerScience at the University of Paderborn was completed with a thesisthat addressed the problem of "Automatic Composition of SemanticWebservices" (2014).His current research focuses on computational modeling of musicalstructure. Further scientific interests include music cognition,probabilistic modeling and machine learning, artificial intelligence,as well as philosophy of mind and philosophy of science. In addition, heis an active trombonist and occassional arranger, composer, and conductor.
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