Research Assistant at "Athena" Research and Innovation Center
Athens, Attica, Greece
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Summary
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Vasilis Gkolemis is a Research Assistant and PhD candidate in Explainable AI specializing in uncertainty quantification for probabilistic models such as Bayesian Neural Networks, with a decade of research experience across academia and a research center in Athens. He holds an M.Sc. in Data Science (Distinction) from the University of Edinburgh and an engineering diploma from Aristotle University of Thessaloniki, where his early work applied deep learning to stereo vision. His research bridges explainability and probabilistic inference to advance trustworthy ML, and he has contributed to open-source tooling like ELFI by implementing the ROMC method. Based in Athens, he combines theoretical rigor with practical implementation, regularly updating his research outputs online and collaborating with leading supervisors in XAI and probabilistic methods.
9 years of coding experience
1 year of employment as a software developer
Master's degree, Master's degree at The University of Edinburgh
Doctor of Philosophy - PhD, Informatics, Doctor of Philosophy - PhD, Informatics at Harokopio University of Athens
Diploma of Engineering, Computer Engineering, 7.56, Diploma of Engineering, Computer Engineering, 7.56 at Aristotle University of Thessaloniki (AUTH)
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Vasilis Gkolemis - Research Assistant at "Athena" Research and Innovation Center