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Explore how KMT2D mutations contribute to cancer and developmental disorders by dissecting its role in transcription and DNA repair. Use cutting-edge genomic techniques to differentiate catalytic and non-catalytic tumor…

This research addresses crucial gaps in understanding how KMT2D mutations drive cancer progression and developmental syndromes like Kabuki …

Explore how metabolic stress from mycophenolic acid affects genome stability and transcription. Investigate DNA repair and chromatin changes with direct relevance to cancer and transplant medicine. Employ molecular biol…

This research reveals broader effects of a widely prescribed immunosuppressant on genome stability, challenging assumptions about its selec…

Explore how stress granule dynamics change with age and affect organismal aging using C. elegans. Investigate molecular and physiological aging markers and stress recovery to understand mechanisms promoting healthy agin…

This research addresses critical gaps in understanding the cellular mechanisms linking stress responses to aging. By uncovering how stress …

Explore non-pharmacological ways to manage antipsychotic-related weight gain in people with dual diagnoses of SMI and learning disabilities. Use realist review and stakeholder interviews to develop practical guidance fo…

The research addresses an urgent health disparity by finding effective ways to manage weight gain caused by antipsychotic drugs that contri…

Explore how mobile technology can ease medication burden for older adults. Conduct realist reviews and interviews to develop policies and technology designs that improve medication management in aging populations.

This research addresses the critical challenge of polypharmacy in older adults, a growing issue that complicates health management and incr…

Explore how to co-produce a stigma reduction program with people in the criminal justice system who experience mental health issues. Investigate intersectional stigma and use mixed methods to develop and pilot an eviden…

This research addresses critical societal barriers faced by individuals in the criminal justice system living with mental health conditions…

Explore developing autonomous fault diagnosis and self-healing systems for large-scale heterogeneous IoT networks. Apply advanced AI techniques such as federated learning and graph neural networks combined with blockcha…

This research addresses critical challenges in ensuring reliability and autonomous fault recovery in large, heterogeneous IoT networks, vit…

Explore how creatine dosing can be optimized to support brain recovery after mild traumatic brain injury. Conduct human trials using advanced imaging and cognitive testing to inform nutritional strategies with potential…

This research addresses a critical gap in understanding how creatine supplementation can improve brain health following mild traumatic brai…

Investigate how creatine dosing affects brain health after mild traumatic brain injury. Utilize human trials and advanced brain imaging to discover effective supplementation strategies that could improve clinical outcom…

This research addresses a critical need to optimise brain recovery strategies after mild traumatic brain injury through nutritional interve…

Explore how creatine supplementation can be optimised to support brain health, especially after mild traumatic brain injury. Combine human trials and brain imaging to discover effective dosing strategies that improve br…

This research is vital for improving clinical approaches to brain injury recovery, offering potential new nutritional guidelines that could…

This PhD focuses on developing charge-aware machine learning interatomic potentials for electrochemical applications, enabling accurate modelling of electrocatalytic systems with long-range electrostatic interactions.

Part-funded 3-year PhD at King’s College London focused on combining deep learning and computational histology to develop novel MRI biomarkers for liver micrometastases detection.