ESTEBAN MAESTRE
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I was born in Barcelona, Spain, in 1979.

I received the B.Sc. and M.Sc. degrees in Electrical Engineering from Universitat Politècnica de Catalunya, Barcelona, in 2000 and 2003; and the D.E.A. Master and Ph.D. degrees in Computer Science and Digital Communication from Universitat Pompeu Fabra, Barcelona, in 2006 and 2009.

From 2001 to 2006, I was a Lecturer at Universitat Politècnica de Catalunya, Department of Electrical Engineering. In between, worked as a Junior Researcher at Philips Research Laboratories Aachen, Germany, during 2003 and 2004.

From 2004 to 2013, I was was a Researcher (Music Technology Group) and a Lecturer (Department of Information and Communication Technologies) at Universitat Pompeu Fabra, working on diverse topics in Music Technology.

I spent close to four years at the Center for Computer Research in Music and Acoustics, Stanford University between 2008 to 2014 working on physical modeling synthesis and gesture rendering for automatic control of bowed-string physical models.

During periods between 2012 and 2013, and between 2014 and 2015, I was a Visiting Researcher at the Department of Mathematics, Universidad Federico Santa María, Santiago, Chile.

Through a Marie Curie IOF fellowship, I spent the years between 2014 and 2017 pursuing my research at the Computational Acoustic Modeling Lab / Center for Interdisciplinary Research in Music Media and Technology of McGill University, and also at the Music Technology Group of Universitat Pompeu Fabra.

Since early 2017, I am a Research Associate at the Computational Acoustic Modeling Lab, McGill University, where I also lecture on Music and Audio Computing.

In 2022 I founded Outer Echo to provide consulting and technology licensing services on physical modeling sound synthesis and virtual acoustics for the XR media and entertainment industries.

My research interests include audio digital signal processing, spatial/binaural sound, artificial reverberation, gesture control and numerical schemes for efficient sound synthesis by physical models, and computational modeling of music performance.




Esteban Maestre, 2022