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I am a PhD researcher in AI and Music at the Centre for Digital Music, QMUL, specializing in deep learning for multi-instrument music transcription. My experience spans both academia and industry, including work on generative models for 3D audio personalization at PlayStation London and developing music production style transfer systems for a music tech startup. I’m passionate about building AI-driven tools that enhance creativity, personalization, and data-driven innovation across the music and entertainment industry.…I am a PhD researcher in AI and Music at the Centre for Digital Music, QMUL, specializing in deep learning for multi-instrument music transcription. My experience spans both academia and industry, including work on generative models for 3D audio personalization at PlayStation London and developing music production style transfer systems for a music tech startup. I’m passionate about building AI-driven tools that enhance creativity, personalization, and data-driven innovation across the music and entertainment industry.

Mary Pilataki

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I am a PhD researcher in AI and Music at the Centre for Digital Music, QMUL, specializing in deep learning for multi-instrument music transcription. My experience spans both academia and industry, including work on generative models for 3D audio personalization at PlayStation London and developing music production style transfer systems for a music tech startup. I’m passionate about building AI-driven tools that enhance creativity, personalization, and data-driven innovation across the music and entertainment industry.…I am a PhD researcher in AI and Music at the Centre for Digital Music, QMUL, specializing in deep learning for multi-instrument music transcription. My experience spans both academia and industry, including work on generative models for 3D audio personalization at PlayStation London and developing music production style transfer systems for a music tech startup. I’m passionate about building AI-driven tools that enhance creativity, personalization, and data-driven innovation across the music and entertainment industry.

Available to hire

I am a PhD researcher in AI and Music at the Centre for Digital Music, QMUL, specializing in deep learning for multi-instrument music transcription.

My experience spans both academia and industry, including work on generative models for 3D audio personalization at PlayStation London and developing music production style transfer systems for a music tech startup. I’m passionate about building AI-driven tools that enhance creativity, personalization, and data-driven innovation across the music and entertainment industry.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Research Engineer at RoEx Audio

January 1, 2023 - January 1, 2025

Designed generative deep learning models for music production style transfer. Collaborated with audio engineers to create custom datasets that simulate audio effects chains. Leveraged Google Cloud Platform (GCP) for large-scale training and dataset generation, including distributed training workflows and experiment tracking.

Software Engineer at PlayStation

January 1, 2022 - January 1, 2023

Developed generative deep learning models for personalized 3D audio experiences. Built a real-time audio JUCE app for dynamic parameter control and interactive spatial audio feedback. Co-authored patents on 3D audio personalization and AI-powered spatial sound methods, demonstrating innovation in applied generative AI. Honoured at PlayStation’s global hackathon for innovative neural audio guitar effects.

Demonstrator at Queen Mary University of London

January 1, 2022 - January 1, 2022

Provided one-to-one academic support to a visually impaired postgraduate student. Supported with teaching and coursework: NLP, Information Retrieval, Music Informatics. Helped adapt teaching materials for accessibility and fostered an inclusive learning environment.

Embedded Software Engineer (Intern) at Peacock Technology

January 1, 2018 - January 1, 2018

Built real-time C++ computer vision pipelines for embedded systems. Developed a time-of-flight multi-camera system for queue detection and people counting. Created a Windows app with Microsoft Foundation Class (MFC) to display live queue analytics.

Workshop Assistant at Glasgow Caledonian University

January 1, 2018 - January 1, 2018

Guided prospective engineering students with hands-on guidance and technical support. Introduced robotics and embedded systems principles through LEGO Mindstorms robot programming. Demonstrated digital logic and hardware design fundamentals using FPGA boards.