Education
Indiana University - Bloomington
PhD, Intelligent Systems Engineering -
01 / 2021 - Present
Currently working under Prof. Minje Kim’s supervision as part of the Signals and Artificial Group in Engineering (SAIGE). Our research focuses on the application of machine learning and signal processing methodologies toward audio and speech signals.
University Pompeu-Fabra
MSc, Signal Processing, Information & Communication -
09 / 2019 - 09 / 2020
GPA: 9.48/10.0
Berklee College of Music
BM in Electronic Production and Design -
05 / 2013 - 05 / 2016
GPA: 3.79, Magna Cum Laude
Work Experience
Mitsubishi Electric Research Laboratories (MERL)
Research Intern
05 / 2021 - Present
Derive and implement new models and optimization methods for audio analysis with applications to source separation in challenging multi-source environments using advanced machine learning techniques.
MIT - McGovern Institute
Technical Lab Assistant -
10 / 2020 - 04 / 2021
Assisting in the development of new machine learning and signal processing technologies targeting speech and clinical applications
Apple Inc.
Content Engineer -
06 / 2016 - 07 / 2019
Software engineer for Logic and Garageband on macOS/iOS platforms
Berklee College of Music
Programming Tutor, Teaching Assistant -
05 / 2015 - 05 / 2016
Boulanger Labs
iOS Engineer -
01 / 2015 - 05 / 2016
Lead developer for csJam: a csound-based iPad music app developed for music therapy use
SoundBridge
QA Intern -
05 / 2015 - 09 / 2015
Provide agile-testing for SoundBridge's cross-platform DAW
Vinyl Dreams
iOS QA Intern -
01 / 2015 - 09 / 2015
Provide agile-testing for Vinyl Dreams iOS music production app
Output
Sound Designer -
06 / 2015 - 09 / 2015
Publications
Certificates
Coursera - Stanford
Machine Learning -
2019
Coursera - UPF
Audio Signal Processing -
2018
Achievements
Berklee College of Music
BT Production Award Scholarship -
2015
Roland
V-Drums Contest, 3rd Place, Swizterland -
2012
