Exploring the frontiers of medical knowledge through research. My work focuses on the intersection of artificial intelligence, medical education, and clinical practice—seeking to understand how technology can enhance, not replace, human expertise.
Research Interests
Medical AI
Investigating how artificial intelligence can assist in diagnosis, treatment planning, and clinical decision-making.
EdTech in Medicine
Exploring digital tools and platforms that enhance medical education and knowledge retention.
Clinical Informatics
Studying the intersection of information technology and clinical practice to improve patient outcomes.
Active Research
No active research projects at the moment.
Completed Research
Structure-based Drug Repurposing
Undergraduate dissertation literature review exploring computational screening of existing drug compounds against novel protein targets using molecular docking and AI/ML approaches. Completed as part of BSc Pharmaceutical Chemistry at Queen Mary University of London.
Research Philosophy
"The best research happens at the intersection of disciplines, where fresh perspectives meet established knowledge to create something truly innovative."
I believe that medical research should be accessible, collaborative, and focused on real-world impact. Whether investigating AI applications in diagnostics or studying the effectiveness of educational technologies, the goal is always the same: to improve human health and wellbeing.