Dimitris Alivanistos is a PhD candidate in Artificial Intelligence at VU Amsterdam with nine years of experience building AI systems that bridge Knowledge Representation, NLP and Machine Learning. He combines academic rigor—publishing and teaching experience—with industry practice from Elsevier, where he designed knowledge-graph-driven data science solutions for biomedical and search applications. Focused on explainability and ethics, his doctoral work aims to create AI-based research assistants that accelerate interdisciplinary discovery and suggest novel collaborations. Comfortable with both “big” and “small” data, he brings a holistic systems view informed by hands-on graph architectures and a longstanding interest in practical prototyping dating back to 3D design and software development early in his career.
9 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Athens University of Economics and Business
Master’s Degree, Artificial Intelligence, Master’s Degree, Artificial Intelligence at VU University Amsterdam
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at University of Amsterdam
Master's Thesis, Artificial Intelligence, Master's Thesis, Artificial Intelligence at Beijing University of Technology
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