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Head of AI at Hook, PhD, ex-TikTok
I'm currently the Head of AI at Hook, building tools that enrich music creativity while ensuring a fair treatment for artists and creators. Before joining Hook, I was senior machine learning researcher at Bytedance/TikTok, Speech-Audio-Music-Intelligence (SAMI) team. My skills include implementing end-to-end machine learning/deep learning models, designing and executing product-driven research and communicating progress and interpretation of experimental results to technical and business stakeholders. I am author of various patents and research papers. I use coding industry best practices throughout, including test driven development, pairing and code reviewing. My PhD thesis was on modelling dynamic variations in expressive music performance, supervised by Prof. Elaine Chew at Centre for Digital Music (C4DM), Electronic Engineering and Computer Science at QMUL.
Universitat Pompeu Fabra
Master's degree, Sound and music computing
September 1, 2010 – August 1, 2011
National Kapodistrian University of Athens
Mathematics
N/A – Present
Nakas Conservatory Athens
Piano
N/A – Present
Hook
Head of Artificial Intelligence
October 1, 2024 – Present
ByteDance
Senior Machine Learning Researcher
June 1, 2019 – November 1, 2023
Jukedeck
Machine learning researcher
November 1, 2016 – June 1, 2019
London Area, United Kingdom
Yamaha Corporation, Japan
MIR research group, internship
November 1, 2015 – December 1, 2015
Hamamatsu, Shizuoka, Japan
Universitat Pompeu Fabra - UPF
Research Visit
May 1, 2015 – June 1, 2015
Greater Barcelona Metropolitan Area
Centre for Digital Music, Queen Mary University of London
Ph. D. Candidate
September 1, 2012 – January 1, 2017
Learn to Hack Web Audio API with G.Hack
June 1, 2014 – June 1, 2014
Co-planner and co-presenter of the workshop at Sónar Festival, Barcelona, Spain, focused on how even beginners in programming can familiarize themselves with the building of an audio or music related hack. We presented the culture of software and hardware hacking through short demos and examples, before moving on to Web Audio API using the Google Chrome web browser. The Web Audio API is a high-level JavaScript API for processing and synthesizing audio in web applications. It includes capabilities found in modern game audio engines and some mixing, processing and filtering tasks found in modern desktop audio production applications. We showed how people can use this API in order to create simple synths and implement effects to audio samples so that they could build the final hack that was presented.
Brutalize Me
April 1, 2013 – April 1, 2013
This is our hack for the Music Hack Day (24hour competition) in Paris, April 2013. Awards received from the companies 7digital and SonicAPI. Article about our project can be found at: http://evolver.fm/2013/04/23/brutalize-me-transforms-justin-biebers-dulcet-tones-into-a-death-metal-growl/
Introduction to Artificial Intelligence
Udacity
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily focused on Machine Learning, AI, and Music Technology. While this demonstrates a strong technical foundation, the target role is 'Data Analyst'. There is a significant mismatch between the candidate's specialized experience and the typical requirements for a Data Analyst role, which usually involves data manipulation, statistical analysis, visualization, and business intelligence, rather than AI/ML research. The projects are highly specialized and do not directly align with general data analysis tasks.
Soft Skills & Operational Fit
The candidate's project descriptions indicate experience in presenting and collaborating (e.g., co-planner and co-presenter of a workshop, participation in a hack day). However, specific details on operational fit, leadership, or team collaboration beyond project involvement are not explicitly provided in the given data.