Nikos Kostagiolas is a Ph.D. researcher at The Cyprus Institute with a decade of experience applying representation learning and generative modeling to inverse high-dimensional and multi-sensory imaging problems. He blends academic rigor with practical ML engineering from prior roles at the Athena Research Center and the University of Geneva, where he also worked on reinforcement and imitation learning for human gait modeling. His M.Sc. in Data Science earned a best-thesis award for work on learned optimization, reflecting a long-standing interest in meta-learning and generalization. Nikos has a broad research footprint spanning VQA, semantic segmentation, geospatial analytics, NLP and bioinformatics, and hands-on industry experience in ETL and data warehousing from IBM. He frequently bridges theory and application, turning advanced ML methods into usable solutions for complex, real-world sensing and decision-making tasks.
10 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Athens University of Economics and Business
Bachelor of Science (B.Sc.), Informatics and Telecommunications, Bachelor of Science (B.Sc.), Informatics and Telecommunications at Ethnikon kai Kapodistriakon Panepistimion Athinon
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