Sound artist, music composer and software developer of collaborative experiences.
I have been working on collaborative music composition, my projects focus on what emerges from horizontal groups, and how to manage consensus and musical idea-sharing.
My projects invite people (often only treated as "audience") to be part of the creation, interaction and resolution of the sounds.
I believe we can create new technologies that helps us collaborate. With a background in Data Science and a Master in Music Technology (UPF, Barcelona) I developed real-time collaborative tools for musicians (InScoreAI).
Sound, technology, and collaborative creation
As my master thesis I developed 'InScoreAI' so composers can share a score in real time (As a Google Docs but for music notation)
An interdisciplinary master where engineers and musicians work together
Orchestral work recorded by the Bratislava Symphony Orchestra
Internship as a music conductor, tutorized by the conductor Miguel Romea Chicote
Internship as a music composer for the short film 'Familia de tres' for Instituto del Cine Madrid
These are some of the works i composed during the degree:
- Rebis: work with an ensemble of 9 instrumentalists.
- The parts of me...: Work with an ensemble of 6 synchronized to a video art piece
- Above the flames, a silent motto: work for string quartet.
- Sound playground: As part of my bachelor thesis that studied collaborative systems I developed a collaborative creation work with horizontal dynamics.
- Keter: Immersive audio work for 5.1 system with synchronized visuals.
Some of the skills developed during the degree have been:
- Composition of electroacoustic music and sound art
- Composition for orchestra, ensembles and soloists
- Orchestra and ensemble conducting
- Music production (including the mixing and mastering process)
- Arrangements and orchestration of existing works
- Knowledge of analysis, harmony, counterpoint, extended techniques and musical computing.
- Musical performing: Piano
480 hours of Data Science training. Development of professional skills in the following areas:
Fundamentals of data science, statistics and programming with Python.
Data analysis:
Introduction to data science and data access, SQL databases, Data exploration, Feature Engineering, Data visualization.
Machine learning:
Supervised learning, Unsupervised learning, Deep learning, Time Series
Data Science and Business:
Data Science Productization, Storytelling and data products.
Provided technical audio support for live events and studio recordings. Developed custom audio processing tools and workflows.
📝 Some ideas on attention, colective action, technology and the future here