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Sarah Hasan is a PhD Fellow at Aalborg University, focusing on advancing research in computational methods and machine learning. She has contributed to various academic publications and conferences, highlighting her expertise in the intersection of technology and data analysis. Her research primarily involves logical consistency in large language models, aiming to explore and enhance their performance in real-world applications. As part of her doctoral studies, she engages in diverse projects that apply theoretical frameworks to practical scenarios, ensuring a comprehensive understanding of the evolving landscape of machine learning. Sarah is committed to disseminating knowledge through her active participation in workshops and conferences, and she collaborates with other researchers and professionals in the field to foster innovation and facilitate information exchange.
Aalborg University • Aalborg Øst, Denmark
Conducting research in machine learning and contributing to academic publications.
Requirements apply generally to Master's programs across departments including Sociology, Business, and Engineering at Aalborg University.