Thomas Melistas
Thomas’ research interests include multimodal and unsupervised learning, interpretability and causality.
Specifically, his research will focus on areas such as causal representation learning and generative models, as well as their biomedical applications.
Thomas holds an MEng in Electrical and Computer Engineering from the National Technical University of Athens, with specialization in Computer Science. The topic of his thesis was Lyrics and Vocal Melody Generation conditioned on Accompaniment.
He has extensive work experience as Machine Learning/MLOps Engineer and has published papers in various conferences on the fields of computational creativity, music information retrieval, affective computing and speech processing.
He has showcased great interest in the application of AI in the arts and especially music. He has developed various related projects and has participated in workshops and hackathons, being awarded the Best Hack / Research Direction Award in HAMR 2020.
His interests include music, photography and poetry among others.

The project “ARCHIMEDES Unit: Research in Artificial Intelligence, Data Science and Algorithms” with code OPS 5154714 is implemented by the National Recovery and Resilience Plan “Greece 2.0” and is funded by the European Union – NextGenerationEU.

greece2.0 eu_arch_logo_en



Stay connected! Subscribe to our mailing list by emailing
with the subject "subscribe archimedes-news Firstname LastName"
(replace with your details)