Things I'm
reading into.
A working notebook of research interests, completed work, and open questions. Nothing here is finished; some of it never will be.
Medical AI
How large models, when used carefully, augment clinical reasoning rather than replace it — and where they quietly fail.
Medical education
Digital tools and pedagogies that improve retention, reduce friction, and respect the time of students and teachers.
Clinical informatics
The interface between information systems and bedside practice. Mostly: where the data goes, and what it costs to get it back.
Nothing actively underway just now. Open to research collaborations — see connect.
- 2023·Computational Chemistry·Completed
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.
AI/ML·Molecular Docking·Drug Discovery·Computational Chemistry·Bioinformatics·Literature Review
The best research happens at the intersection of disciplines — where fresh perspectives meet established knowledge to create something neither field could have arrived at alone.
I believe 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.