Key Skills: Research, Machine Learning, DSP, Information Retrieval, Data, Python, Unix, AWS, Matlab, C, Interactive Design

(* For more information, please feel free to contact me at


Master of Science in Music Technology (2013)

  • Georgia Tech Center for Music Technology (GTCMT), Georgia Institute of Technology, Atlanta, GA
  • Relevant fields: Computer Science, Machine Learning, Digital Signal Processing, Computer Music, Musicology, Interactive Design

Bachelor of Science in Physics – Minor in Mathematics (2011)

  • School of Mathematics and Sciences, California State University Northridge (CSUN)

French Baccalaureate – Sciences Specialization (2006)

  • International School of Los Angeles


Research Engineer at Gracenote (2013-Present)

  • Solve problems in the field of Music Information Retrieval using Deep Learning and Digital Signal Processing
  • Mine, process and analyze large amounts of data
  • Environment & Tools: Unix, Python, Theano, GPU processing, AWS, Javascript/D3, C/C+

Research Engineer Intern at Sennheiser (2013)

  • Built a Machine Learning framework for Blind Source Localization
  • Improved the layout and functionality of an audio-calibration app aimed at enhancing the music listening experience in the context of hearing loss
  • Performed usability-testing & statistical analysis
  • Environment & Tools: Unix/Windows, Matlab, Python, C++/Juce

Research Engineer Intern at Gracenote (2012)

  • Implemented Python wrappers to facilitate music metadata extraction algorithms
  • C++ algorithm debugging for cross-platform compatibility (Linux, Windows, Mac)
  • Rhythmic periodicity (bar-level) induction via Beat Similarity Matrix diagonal processing
  • Created emotional complexity measurements using extracted mood metadata


Graduate Research at the GTCMT: Music Information Retrieval

  • Built AI systems for human-machine musical interaction using Audio DSP and Machine Learning
  • Please visit my Works page for an overview of academic projects conducted at Georgia Tech (2011 – 2013)

Directed Undergraduate Research at CSUN: Acoustic Control Theory

  • Performed numerical analysis and developed computational methods to model and analyze the non-linear behavior of complex sound fields produced by striking resonant objects (2010)

REU in Physics of Music at UIUC: Near-Field Acoustic Holography

  • Research Experience for Undergraduates at University of Illinois at Urbana-Champaign
  • Investigated a phase-sensitive setup for near-field acoustic holography in order to determine the characteristic modes of resonance of a vibrating frame drum membrane as well as visualize their 3D representation (2010)


President of the CSUN Chapter of The Society of Physics Students

  • Connecting students as one dynamic society recognized nationally (2010)

AudioLives Productions

  • Part-time collaborator in rhythm composition; hand percussion recordings as solo performances and background accompaniments (2009 – 2010)

Audio Engineer Intern at Dubbing Brothers Burbank

  • Assisting with various audio engineering tasks, form recording to editing, mixing and mastering on Pro Tools interface (2009)



  • Fluent in French and English, intermediate in Spanish


Audio Interfaces:

  • Logic Pro, Pro Tools, Ableton Live, Spear, Audacity


  • Unix Shell, awk, vim
  • Python, MATLAB, C, Javascript/D3
  • Max/MSP, Pure Data, LabVIEW



Network Music Paper

  • Gregoire Tronel, Sang-Won Lee, Ajay Shrinivasamurthy, Weibin Shen: Tok! A Collaborative Percussive Instrument using Mobile Phones. International Conference on New Interfaces for Musical Expression (NIME), 2012.

MIR Paper

  • Ajay Shrinivasamurthy, Gregoire Tronel, Sidarth Subramanian: Towards a Complete Rhythm Description of Music by the Estimation of Sub-Beat and Supra-Beat Rhythmicity. (Georgia Tech), 2011.

REU Paper

  • Gregoire Tronel: Near-Field Acoustic Holography: The Frame Drum. (UIUC), 2010.