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个人简介
Computer scientist, graduated in Computer Science from the National University of Computing and Emerging Sciences, with a strong background in data science, artificial intelligence, and natural language processing (NLP). Currently, a PhD candidate at Paderborn University, Germany, tackling the application of Graph traversal and NLP techniques to assess and improve the quality of large collaborative knowledge graphs.
I have worked and learned from a variety of environments, always employing a hands-on approach to gathering and processing data. I apply machine learning solutions to real issues, creating value through proofs-of-concept, deployed models in production, or peer-reviewed scientific papers.
I have acted in R&D teams in both software engineering and researcher positions, have worked as a data scientist for multinational companies, and I am also very experienced in teaching machine learning to different audiences, from master's students to start-up entrepreneurs and even seasoned engineers.
研究兴趣
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SEMANTIC WEB, ISWC 2023, PART I (2023): 465-483
The Semantic Web – ISWC 2022 (2022): 462-480
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