Yusuf Abdulle

About

Hi — I'm Yusuf, a PhD student in the Department of Biostatistics and Health Informatics at the Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London . I'm pursuing a PhD in Machine Learning for Health as part of the EPSRC Centre for Doctoral Training in Data-Driven Health , co-funded by . I'm currently an intern at Relation .

I'm supervised by Prof. Richard Dobson, Prof. Alfredo Iacoangeli, Prof. Honghan Wu, Dr Chris Tomlinson, Dr Zhi Yao and Prof. Ammar Al-Chalabi.

I also build open-source tools for clinical data work — see Projects for software like icdlookup, a Python package for ICD-10 code lookup and annotation.

Portrait of Yusuf Abdulle

Research

My research sits at the intersection of artificial intelligence (AI), neuroscience and clinical neurology, and computational biology. My PhD develops an end-to-end machine-learning framework for integrating multimodal electronic health records, clinical text, biomedical knowledge graphs, and genomics to address complex problems in rare and neurodegenerative disease.

A central focus of my work is Motor Neuron Disease (MND) and Amyotrophic Lateral Sclerosis (ALS), where I investigate whether machine learning can meaningfully advance both research and clinical care. This includes earlier diagnosis, disease progression forecasting, patient stratification and subtype discovery, and drug repurposing. More broadly, I am interested in using AI to turn heterogeneous biomedical data into clinically meaningful insights.

Alongside this, I work on agentic AI systems, LLM post-training, and synthetic data generation. My broader aim is to develop robust, clinically grounded machine-learning capabilities that can be applied across neurodegenerative research and help bridge the gap between increasingly complex biomedical data and actionable clinical knowledge.

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