This research develops an affordable, scalable platform for recording electrical activity from brain organoids. Using innovative basket-shaped sensors made from a low-cost conductive material, the system enables simultaneous recording from dozens of mini-brains, accelerating drug discovery and improving our understanding of brain diseases with more human-relevant laboratory models.

This research engineers DNA-modified exosomes to deliver drugs precisely to cancer cells while avoiding healthy tissue. By disguising natural cell-targeting signals and adding programmable DNA targeting molecules, the platform could reduce treatment side effects and provide a modular delivery system adaptable to many cancers and other diseases.

This research challenges the long-standing assumption that brain regions causing no errors during awake brain surgery are functionally unimportant. By measuring subtle delays in speech rather than errors alone, it introduces causal parametric mapping, offering surgeons a more sensitive way to preserve language function and improve patient outcomes.

This research develops targeted lipid nanoparticle delivery systems to improve tuberculosis treatment and vaccination. By replacing PEG coatings and using mannose to target infected macrophages, it aims to deliver drugs more effectively, reduce treatment duration, improve vaccine performance, and contribute to the global elimination of tuberculosis.

This research investigates whether the diabetes drug dapagliflozin (DAPA) can be repurposed to treat metabolic dysfunction-associated steatotic liver disease (MASLD). Using laboratory models, it examines fat accumulation and NHE1 ion channel function, aiming to develop a cost-effective treatment for two closely linked metabolic diseases with one existing medicine.

This thesis examines cytokine release storm, where the immune system becomes dangerously overactive. Using rat models, mathematical modelling, science and coding, she maps how corticosteroids move through organs and control inflammation. The goal is to optimise treatment for CRS during cancer therapy, COVID or future pandemics.

This research investigates how misfolded Islet Amyloid Polypeptide (IAPP), a protein associated with Type 2 diabetes, affects blood clot formation. Laboratory experiments showed that misfolded IAPP creates unusually dense and resilient clots. These findings may help explain elevated cardiovascular risk in diabetes and identify new targets for preventing heart attacks and strokes.

This research develops a physics-based method for measuring lung elasticity from medical imaging to predict which emphysema patients will benefit from lung valve treatment. By creating detailed elasticity maps, the work aims to improve treatment selection, enhance patient outcomes, and provide new quantitative tools for assessing lung health.

This research investigates how glioblastoma brain cancer cells invade healthy brain tissue. Using patient-derived tumor organoids and traction force microscopy, the study measures how cancer cells generate and apply forces to move through the brain. Understanding these invasion mechanisms could help develop therapies that slow tumor spread and improve patient survival.

This research examines whether metformin, a common diabetes drug, can improve social cognition in individuals with multiple sclerosis by promoting remyelination. Since MS damages nerve insulation, affecting brain function, the study explores whether treating co-occurring diabetes can reduce inflammation and symptoms, potentially leading to new regenerative therapies and improved quality of life.