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 and an Intern at Relation and I’m pursuing a PhD in Machine Learning for Health. I’m part of the EPSRC Centre for Doctoral Training in Data-Driven Health, co-funded by LifeArc, and supervised by Prof. Richard Dobson, Prof. Alfredo Iacoangeli, Prof. Honghan Wu, Dr Chris Tomlinson, Dr Zhi Yao and Prof. Ammar Al-Chalabi

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.

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.

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