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Resume (English only)
Academic Achievements
Published multiple papers, including: 'Entity-aware Transformers for Entity Search' (SIGIR 2022), 'Bias in Conversational Search: The Double-Edged Sword of the Personalized Knowledge Graph' (ICTIR 2020), 'Effect of Debiasing on Information Retrieval' (BIAS2020 workshop during ECIR 2020), 'Graph-Embedding Empowered Entity Retrieval' (ECIR 2020), 'Impact of Debiasing Word Embeddings on Information Retrieval' (FDIA 2019, won best poster award).
Research Experience
Was a Ph.D. student at Radboud University Nijmegen, focusing on the use of Graph Embeddings in Information Retrieval.
Education
Bachelor's degree in both Mathematics and Computer Science; Master’s degree in Data Science.
Background
Currently a lecturer at the AI Bachelor’s at Radboud Universiteit Nijmegen, and was previously a Ph.D. student at the Data Science Radboud University Nijmegen. Research interests include the usage of Graph Embeddings in Information retrieval and their impact on users.