Konstantinos Patlatzoglou is an Associate Researcher and computer scientist with a PhD and a decade of experience applying machine learning to neurophysiological signals, from EEG-based real-time depth-of-anesthesia monitoring to AI-driven ECG analysis. He blends fundamentals in neuroscience and biomedical engineering with practical ML research, shipping end-to-end deep learning systems in academic settings. Based in London, he has a track record of translating complex physiological data into clinically relevant models and has taught undergraduate computer science, underscoring his ability to communicate technical ideas. His background in sound and music computing adds an unconventional signal-processing perspective that informs novel feature and model design.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.Sc.), Informatics, First Class Honours, Bachelor of Science (B.Sc.), Informatics, First Class Honours at Aristoteleion Panepistimion Thessalonikis
Master of Science (M.Sc.), Sound and Music Computing, Master of Science (M.Sc.), Sound and Music Computing at Universitat Pompeu Fabra
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Kent
Contributions:2 PRs, 2 pushes, 3 branches in 1 day
testingtest-repository
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.