Summary
Pavlos Andreadis is an experienced AI researcher and educator with a decade of practice turning complex machine learning and reinforcement learning research into engaging, assessment-driven teaching and applied systems. Based in Edinburgh, he combines academic rigour—a PhD in Informatics—with hands-on consultancy and startup experience as a co-founder of an AI company, delivering practical solutions such as recommendation and ridesharing systems. He has a strong track record supervising MSc/PhD projects, leading curriculum innovations like a GenAI integration project, and repeatedly earning nominations for teaching and supervision awards. Comfortable moving between research, industrial consulting, and course design, he is skilled at making elegant, resourceful solutions from what's available and quietly raising standards in both classrooms and code.
10 years of coding experience
9 years of employment as a software developer
PhD in Informatics, Artificial Intelligence and Social Computation, PhD in Informatics, Artificial Intelligence and Social Computation at The University of Edinburgh
Evolving Semantics, Evolving Semantics at 1st ESSENCE Autumn School
Master of Science (M.Sc.) in Production Systems, Production and Management Engineering, 8.69/10, Master of Science (M.Sc.) in Production Systems, Production and Management Engineering, 8.69/10 at Πολυτεχνείο Κρήτης - Technical University of Crete
Computational Interaction, Computational Interaction at University of Glasgow
English, Swedish, Greek, French