I am currently an Assistant Professor in Signal Processing at Universidad de la República (UDELAR), Uruguay. I hold B.Sc, M.Sc., and D.Sc. degrees in Electrical Engineering from the School of Engineering, UDELAR. I was Teaching Assistant in Music Technology at the School of Music, UDELAR. My research focuses on the application of machine learning and signal processing to audio signals, with applications in machine listening, music information retrieval, and computational musicology.


A complete list of my publications is available here. You can also check my scholar profile here.


StaRel - Statistical Relational Learning for Music (STIC-AmSud, 2018-2019). Scientific coordinator and researcher. The project aims to gain insight into the understanding and modeling of the rhythmic/metrical structure in audio recordings of expressive music performances.
IEMP - Interpersonal Entrainment in Music Performance (AHRC, 2016-2018). Visiting fellow and collaborator. The project aims to develop a better understanding of how groups of people coordinate behaviour within a musical context, considering a broad range of musical cultures.


carat - Computer-aided Rhythm Analysis Toolbox (python). A toolbox for rhythmic pattern analysis from audio recordings, including some ready-to-use software applications.
FChT - Fan Chirp Transform and F0gram (Matlab, C). Improved time-frequency representation of polyphonic music and fundamental-frequency salience visualisation.
IIR-CQT - IIR Constant-Q Transform (Matlab). Constant-Q transform implemented by IIR filtering of the spectrum, as a good compromise between flexibility and low computational cost.
WIST - Wind Instruments Synthesis Toolbox (Matlab). Wind instruments additive synthesis for generation of music audio signals with labeled partials.


IEMP Uruguayan Candombe - A collection of audiovisual recordings of Uruguayan Candombe drum ensemble performances, with detailed annotations (beat, downbeats, onsets, etc.).
Uruguayan Candombe Beat and Downbeat - A dataset of audio recordings of Uruguayan Candombe drum ensemble performances with annotated beats and downbeats.
MAVD-traffic dataset - A dataset for sound event detection in urban environments that focuses on traffic noise, with audio recordings and synchronized video files.


Fundamentals of Machine Learning

2019 - Present
School of Engineering, Universidad de la República

Digital Audio Signal Processing

2012 - Present
School of Engineering, Universidad de la República