I am currently part of the EPSRC funded Centre for Doctoral Training in Intelligent Games and Game Intelligence, based in York, UK. From 2018 and in collaboration with Sony Interactive Entertainment Europe, I am researching about strategies to increase the efficiency in the creation of procedural audio models for video games by using DSP and machine learning approaches.

My main research interests are:

• Generative deep learning for sound synthesis.
• Machine learning to find out the best parameters for a synthesiser to generate a target sound.

Skills

• Machine learning and generative deep learning.
• Game audio and procedural sound design.
• Real-time audio programming (C/C++, Faust, ChucK, Pure Data…).
• Digital signal processing.
• Game Development (Unity, Unreal).

Bio

I have been enthusiastic about sound and more specifically about game audio since I began my studies. By the time I completed my HND in Creative Media Production in Madrid, I started working in the industry as a recording engineer in an ADR studio for the Spanish localisation of video games (such as Fallout 4, Until Dawn or Just Cause 3). I moved from Spain to the UK in 2015 to take a BA (top-up) in Music Production at the Southampton Solent University and an MSc in Sound Design at the University of Edinburgh immediately after. During that journey I focused my career in machine learning and procedural audio, and explored ways to create models for interactive applications by using different techniques.