The Team: Enhancing the Data Infrastructure

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Honghan Wu jointly leads the Clinical NLP Group at the University of Edinburgh. Dr Wu is a Lecturer in Health Informatics at UCL, London and a Rutherford Research  Fellow doing clinical data science in Usher Institute, University of Edinburgh.

Find out more about Honghan Wu on their profile page

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Beatrice Alex jointly leads the Clinical NLP Group at the University of Edinburgh. Dr Alex is a Chancellor’s Fellow at the Edinburgh Futures Institute and Turing Fellow at the Alan Turing Institute and the School of Informatics at the University of Edinburgh.

Find out more about Beatrice Alex on their profile page

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Imane Guellil has nine years of experience dedicated to a range of Natural Language Processing (NLP) and data science topics, including her most recent year focusing on clinical NLP. 

She has consistently demonstrated enthusiasm for applying NLP and Artificial Intelligence (AI) approaches to intricate and challenging problems, always striving to think outside the box. As an illustration, during her Ph.D., she pioneered, a sentiment analysis approach tailored to the Algerian dialect. This dialect poses unique challenges, involving various NLP tasks such as transliteration, translation, and diverse orthographic, syntactic, and morphological analyses.  Additionally, during the preparation of her thesis, she concurrently served as an assistant professor at the Higher School of Applied Science in Algeria. This dual role allowed her to impart knowledge in algorithmics and programming languages to a diverse group of undergraduate students. The experience was not only impactful and successful but also brought her immense joy, making it one of the most rewarding periods in her life.

Her NLP expertise was also beneficial and applied to the industry when she was involved as a knowledge transfer associate with Aston University. During this position, she has the opportunity to apply and improve the state-of-the-art approaches to a real business problem (the deidentification of customers' sensitive data).

She has also contributed significantly to the fields of Natural Language Processing (NLP) and Machine Learning (ML), particularly through literature reviews and research papers with the most recent one dedicated to the detection of geriatric syndromes and adverse events, as a part of her contribution to the AIM-CISC/ACRC projects at the University of Edinburgh. She is now leading the annotation and automatic detection of geriatric syndromes and adverse events from free text

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Fahrurrozi Rahman is a Research Fellow in Clinical Natural Language Processing. His research includes continual learning and natural language processing, alongside explorations in poetry and harmony generation. He is working on analysing geriatric phenotypes in clinical text under the supervision of Dr. Beatrice Alex.