Summary
Tasos Papastylianou is a Lecturer in Computer Science at the University of Essex, specialising in Health-AI with a nine-year track record bridging machine learning, biomedical signal processing, and medical image analysis. He combines a DPhil in Biomedical Engineering from Oxford and clinical NHS experience to translate AI research into validated, explainable tools for public health, wearable data, and brain–computer interfaces. His work spans neural, fuzzy, and genetic methods, with recent supervision in computational finance applying ML to algorithmic trading and portfolio optimisation. Previously a founder of a health-focused sensor startup and a senior researcher on EU and US‑UK projects, he has hands-on experience running EEG experiments and building personalised decision-support systems. An accomplished pianist and LRSM holder, he brings an uncommon blend of technical depth, clinical insight, and creative discipline to multidisciplinary teams. Colleagues know him for pragmatic open-source advocacy and an approachable sense of humour summed up on GitHub as "Approach with cake."
9 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (DPhil) Biomedical Engineering, Doctor of Philosophy (DPhil) Biomedical Engineering at University of Oxford
Licentiate of Royal Schools of Music (LRSM) in Piano Performing Piano Performing, Licentiate of Royal Schools of Music (LRSM) in Piano Performing Piano Performing at Associated Board of the Royal Schools of Music (ABRSM)
Master of Science (MSc) Computer Science, Master of Science (MSc) Computer Science at University of Bristol
English, Greek, French, German, Italian, Spanish, Russian, Japanese