Roland LogéRoland Logé is an associate professor at EPFL, with a primary affiliation to the Materials Institute, and a secondary affiliation to the Microengineering Institute.
After graduating in 1994 at UCL (Belgium) in Materials Engineering, he earned a Master of Science in Mechanics in 1995, at UCSB Santa Barbara (USA). He received his PhD at Mines Paristech-CEMEF (France) in 1999, where he specialized in metal forming and associated microstructure evolutions. After a postdoc at Cornell University (USA) between 1999 and 2001, he entered CNRS in France.
In 2008, he was awarded the ALCAN prize from the French Academy of Sciences, together with Yvan Chastel.
In 2009 he became head of the Metallurgy-Structure-Rheology research group at CEMEF.
In 2011, he launched a “Groupement de Recherche” (GDR), funded by CNRS, networking most of the researchers in France involved in recrystallization and grain growth.
In 2013, he became Research Director at CNRS.
In March 2014 he joined EPFL as the head of the Laboratory of Thermomechanical Metallurgy.
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.
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.
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.
