Mary Pilataki
Reading,Berkshire
Summary
I am a PhD researcher in AI and Music at the Centre for Digital Music (C4DM), Queen Mary University of London, where I focus on deep learning for multi-instrument music transcription. I bring cross-disciplinary experience from both academia and industry, having worked on spatial audio personalization at PlayStation London and neural audio effect systems at a music tech startup. My skill set spans audio signal processing, machine learning, and real-time systems, and I'm passionate about building intelligent tools that support musicians, producers and engineers in creative workflows.
Overview
7
7
years of professional experience
Work history
Research engineer
RoEx Audio
London
2023.11 - 2025.03
- Designed and implemented deep learning models in PyTorch to perform music production style transfer, enabling users to transform raw audio recordings to match the mixing style of professional engineers.
- Created custom datasets using Spotify’s Pedalboard Audio Effects library to simulate realistic audio effects chains.
- Leveraged Google Cloud Platform (GCP) for large-scale training and dataset generation.
Software engineer
PlayStation
London
2022.07 - 2023.09
- Developed generative models for personalized 3D audio experiences.
- Built a real-time JUCE application for an audio propagation project, enabling dynamic parameter adjustment and interactive spatial audio playback.
- Received an Honourable Mention award in PlayStation’s global hackathon for a project on neural audio effects for guitar.
- Co-authored patent filings related to 3D audio personalization and neural network–based spatial sound techniques.
Demonstrator
Queen Mary University of London
London
2022.03 - 2022.06
- Provided one-to-one academic support to a visually impaired postgraduate student enrolled in the MSc Artificial Intelligence programme.
- Assisted with coursework and concepts in advanced modules, including: Neural Networks for Natural Language Processing, Information Retrieval, Music Informatics
- Helped adapt teaching materials for accessibility and fostered an inclusive learning environment.
Embedded Software Engineer
Peacock Technology
Stirling
2018.06 - 2018.08
- Focused on computer vision and image processing for real-time embedded systems in C++.
- Developed a time-of-flight multi-camera system to track movement and count people in queues.
- Designed and implemented a Windows desktop application using Microsoft Foundation Class (MFC) to display live queue analytics.
Workshop assistant
Glasgow Caledonian University
Glasgow
2018.03 - 2018.03
- Assisted prospective engineering students, providing hands-on guidance and technical support.
- Helped participants program LEGO Mindstorms robots, introducing them to basic robotics and embedded programming concepts.
- Supported sessions involving Nexys 4 DDR FPGA boards, demonstrating digital logic and hardware design fundamentals.
Education
Doctor of Philosophy - Computer Science
Queen Mary University of London
London 2019.10 -
Bachelor of Engineering - Electrical & Electronic Engineering
Glasgow Caledonian University
Glasgow 2015.09 - 2019.07
Bachelor of Science - Marketing
Athens University of Economics And Business
Athens 2011.09 - 2016.09
Diploma of Higher Education - Music Business and Creative Industries
SAE Athens
Athens, Greece 2011.09 - 2012.09
Skills
Technical Skills
Programming and tools
Python, C C, MATLAB, Bash, Git, Docker
Experience with embedded systems, real-time audio applications (JUCE, Bela), and cloud/HPC environments
Machine Learning & Deep Learning
Frameworks: PyTorch, TensorFlow
Architectures: CNNs, LSTMs, Transformers, Autoencoders, VQ/VQGANs, Masked Autoencoders, JEPAs
Experienced in distributed training on Google Cloud (Vertex AI) and high-performance clusters
Audio & Signal Processing
Feature extraction, data augmentation, real-time audio processing
Music Information Retrieval (MIR), 3D audio, and Head-Related Transfer Functions (HRTFs) for video games
Analytical & Problem-Solving Skills
Strong foundation in mathematics, algorithms, and statistics
Quick to grasp new technical concepts across diverse areas
Communication and Teamwork
Experienced technical writer (papers, reports), with clear communication
Led AI reading groups in MIR; supported a visually impaired MSc student by adapting technical content into accessible formats
Comfortable working in collaborative, interdisciplinary teams
Websites
Affiliations
- Reading books
- Music
- Exercise
Languages
Greek
Native
German
Upper intermediate (B2)
Timeline
Research engineer
RoEx Audio
2023.11 - 2025.03
Software engineer
PlayStation
2022.07 - 2023.09
Demonstrator
Queen Mary University of London
2022.03 - 2022.06
Doctor of Philosophy - Computer Science
Queen Mary University of London
2019.10 -
Embedded Software Engineer
Peacock Technology
2018.06 - 2018.08
Workshop assistant
Glasgow Caledonian University
2018.03 - 2018.03
Bachelor of Engineering - Electrical & Electronic Engineering
Glasgow Caledonian University
2015.09 - 2019.07
Bachelor of Science - Marketing
Athens University of Economics And Business
2011.09 - 2016.09
Diploma of Higher Education - Music Business and Creative Industries
SAE Athens
2011.09 - 2012.09