About me
About me
I am a postdoc researcher at EPFL working on computational modeling of tonal music and its underlying cognitive processes. My current approach mostly revolves around transparent reasoning (deductive systems), domain modeling (type systems) and program synthesis.
By formalizing musical structures as generative programs, my research is driven by three main questions:
- (Programming language theory) What is the hypothesis space for such programs?
- (Deductive parsing & program synthesis) How can one infer such programs from their outputs, the musical surface?
- (Library/abstraction learning) What are the common patterns in such learned programs and their musical interpretations?
I have a PhD in Computational Music Cognition from EPFL with a thesis on modeling music repetition, and an M.A. from NYU with a thesis on algorithmic music composition (with a genetic algorithm). I did my undergraduate degree in Mathematics (with a minor in music) at UC San Diego.