Helena Cuesta
Research Scientist at Zoundream
Barcelona, Catalonia, Spain
Summary
👤
Senior🎓
Top SchoolHelena Cuesta is a research scientist and machine learning expert with a PhD in Music Technology and over a decade of experience developing audio-focused AI and signal-processing systems. She has led and contributed to R&D projects across academia and industry—from deep learning for polyphonic vocal analysis during her PhD to applied audio biomarkers for infant voice at Zoundream. Helena blends strong research pedigree (ISMIR publications, EU-funded projects and visiting work at NYU MARL) with hands-on product-facing ML roles in venture-backed labs, consulting and portfolio projects. Her work sits at the intersection of music information retrieval, speech/audio processing and recommender/pattern-discovery systems, and she often translates complex audio research into deployable tools. Fluent in both scientific publishing and industrial delivery, she brings a rare combination of music training (cellist) and data-driven engineering that informs creative solutions to audio understanding problems.
11 years of coding experience
8 years of employment as a software developer
Intermediate Certificate in Music (Cello) Cello, Intermediate Certificate in Music (Cello) Cello at Conservatori Municipal Música GranollersDoctor of Philosophy - PhD Music Technology / Information and Communication Technologies (ICT), Doctor of Philosophy - PhD Music Technology / Information and Communication Technologies (ICT) at Universitat Pompeu FabraESO + A-Level Technology, ESO + A-Level Technology at IES El SuiUOC (Universitat Oberta de Catalunya)
English, Catalan, Spanish, German
Github Skills (24)
mir10
music-information-retrieval10
audio10
music10
retrieval9
convolutional-neural-networks9
python9
datasets9
ensembles8
information-retrieval8
deep-learning6
csv5
transition5
pickle5
music-generation3
Programming languages (2)
Github contributions (5)
helenacuesta/multif0-estimation-polyvocals
Oct 2019 - Mar 2021
Code for ISMIR 2020 paper: "Multiple F0 Estimation in Vocal Ensembles using Convolutional Neural Networks"
Contributions:140 commits, 22 pushes, 1 branch in 1 year 5 months
deep-learningismirconvolutionalneural-networksestimation
helenacuesta/DCStoolbox
Feb 2019 - Sep 2020
Contributions:31 commits, 2 PRs, 1 push in 1 year 6 months
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