Research & Industry Experience

Dec 2025 — Ongoing
ML Engineer
Epic Games — Hybrid
  • AI (transformer models, LLMs) for automated moderation.
Oct 2025 — Mar 2026
Research Visitor
Technical University of Munich
  • Research on flow matching for audio denoising & super-resolution.
Jul 2025 — Dec 2025
AI Consultant
Self-employed — Remote
  • Commissioned by an NGO to open-source bioacoustic models and host them on Hugging Face for research and teaching.
Apr 2025 — Sep 2025
Research Visitor
University of Cambridge
  • Collection and deep learning modelling of sensitive NHS audio data.
Jan 2023 — Mar 2025
Research Associate
University of Cambridge — Jesus College
  • Research on fairness, self-supervised learning, and complex-valued deep learning for respiratory audio.
  • Built an Android app used by ~700 participants for respiratory health audio data collection.
  • Helped supervise 3 PhD, 1 MPhil, and 1 BSc students. Co-authored 5 papers (1 under review).
Apr 2022 — Oct 2022
Research Assistant
Imperial College London
  • First-author ICASSP 2023 paper on deep acoustic asthma detection with Barlow Twins-like regularisation.
  • Developed a web app (FastAPI + MS Azure database) for audio health data collection.
Sep 2020 — Dec 2020
AI Algorithm R&D Intern
Huawei Technologies R&D UK
  • Led large-scale multi-GPU work on lightweight real-time keyword spotting (MatchBoxNet, TC-ResNet).
  • Adapted Wav2Vec 2.0 for multilingual ASR with adapters on ~0.6 TB of speech data.
Dec 2013 — Jul 2017
Research Assistant
CERTH-ITI — MKLab
  • First-author journal article, workshop paper, and extended abstract on graph ML for social media.
  • Discussion thread dataset collection and curation using Twitter and Reddit APIs.
  • Integrated research modules into project systems using Docker and RabbitMQ.
  • EC projects: STEP H2020 and REVEAL FP7.
Mar 2012 — May 2012
Software Engineering Intern
Veltio Greece Ltd
  • Developed C++ I/O for a sparse multidimensional database, with Python bindings via Boost.Python.

Education

Oct 2017 — Jan 2023
PhD in Computing
Imperial College London — GLAM Group
Supervised by Prof. Björn W. Schuller · Thesis: Deep Learning from Uncertainty — Exemplified by Applications on Audio and Text
  • First or co-first author in 10 publications across top audio & ML venues (Interspeech, ICASSP, CIKM, Cell Patterns).
  • Led uncertainty-aware deep learning research on speech affective computing, bioacoustics, and text classification.
  • Co-authored 6 publications with MSc/BSc students whose projects I co-supervised.
  • Curated datasets and formulated tasks for 2 ML challenges co-located with ISCA Interspeech and ACM MM.
  • Awarded the full President's Scholarship by Imperial College London (EPSRC Grant No. 2021037).
Sep 2012 — Sep 2013
MSc with Distinction in Biomedical Engineering (77/100)
Imperial College London — B&B Lab
Supervised by Dr. Aldo Faisal · Thesis: Model-based Reinforcement Learning for Drug Delivery
Sep 2005 — Jul 2012
Diploma (MEng) in Electrical & Computer Engineering — Merit (7.59/10)
Aristotle University of Thessaloniki — CSA Lab
Supervised by Dr. Nikos Pitsianis · Thesis: Fast Local Correlation Coefficients (FLCC) Library
  • 1 conference paper (SPIE 2009).
  • Library links: AuTh · Duke.

Honours & Awards

Teaching

Teaching assistant at the University of Cambridge and Imperial College London — tutoring, marking, small-group tutorials, and development of tutorial and assignment material.

Lectures & Practical Sessions

Across Imperial and Cambridge, helped supervise 3 PhD, 1 MPhil, 13 MSc/BSc theses, and 3 undergraduate placements.