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 uses artificial intelligence to analyse immune-system data and predict vaccine effectiveness. By identifying early biological signals associated with strong, long-lasting immunity, the work aims to improve vaccine design, personalise vaccination strategies, and support development of universal vaccines capable of protecting against rapidly evolving infectious diseases.

This research investigates tularemia, a highly infectious disease caused by Francisella tularensis, and explores a weakened bacterial strain as a vaccine candidate. By studying how the pathogen evades immune defenses, the work aims to enable rapid immune recognition and response, improving protection against both natural infections and potential biothreats.

This research explores how mast cells—immune cells responsible for allergy symptoms—can be repurposed to strengthen vaccines. By targeting mast cells with nasal vaccines, stronger and longer-lasting immune responses may be generated, particularly benefiting high-risk populations and improving protection against infectious diseases.

Malaria infects hundreds of millions each year by using the parasite Plasmodium to invade the liver through the CSP protein. This research designs tightly binding antibodies to block infection at its earliest stage, improving vaccine effectiveness and offering a path toward preventing malaria before symptoms begin.