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Education

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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.

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University Pompeu-Fabra

MSc, Signal Processing, Information & Communication   -

09 / 2019 - 09 / 2020

GPA: 9.48/10.0

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Berklee College of Music

BM in Electronic Production and Design   -

05 / 2013 - 05 / 2016

GPA: 3.79, Magna Cum Laude

Work Experience

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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.

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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

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Apple Inc.

Content Engineer   -

06 / 2016 - 07 / 2019

Software engineer for Logic and Garageband on macOS/iOS platforms

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Berklee College of Music

Programming Tutor, Teaching Assistant   -

05 / 2015 - 05 / 2016

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Boulanger Labs

iOS Engineer   -   

01 / 2015 - 05 / 2016

Lead developer for csJam: a csound-based iPad music app developed for music therapy use

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SoundBridge

QA Intern   -   

05 / 2015 - 09 / 2015

Provide agile-testing for SoundBridge's cross-platform  DAW

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Vinyl Dreams

iOS QA Intern   -   

01 / 2015 - 09 / 2015

Provide agile-testing for Vinyl Dreams iOS music production app

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Output

Sound Designer   -

06 / 2015 - 09 / 2015

Publications

Darius Petermann, Pritish Chandna, Helena Cuesta, Emilia Gòmez & Jordi Bonada (October 2020), "Deep Learning Based Source Separation Applied To Choir Ensembles", The 21st International Society for Music Information Retrieval Conference

Darius PetermannSeungkwon BeackMinje Kim (October 2021), "HARP-Net: Hyper-Autoencoded Reconstruction Propagation for Scalable Neural Audio Coding", The  IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) 2021

Certificates

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Coursera - Stanford

Machine Learning   -

2019

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Coursera - UPF

Audio Signal Processing   -

2018

Achievements

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Berklee College of Music

BT Production Award Scholarship   -

2015

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Roland

V-Drums Contest, 3rd Place, Swizterland   -

2012