Research.

Predictive modelling of clinical outcomes, with an active PhD focus on corneal surface disease.

My research applies machine learning to clinical prediction problems where the data is imperfect, the cohorts are small, and the consequences of being wrong are material. The current focus — my PhD at Newcastle University — is a predictive framework for limbal stem cell deficiency, a corneal surface disease whose trajectory is hard to forecast from standard imaging alone.

Prior work spans clinical simulation (a chronic kidney disease ML model at HealthLumen, 2020) and Arabic-language health-NLP (a peer-reviewed paper in the Journal of Islamic Marketing, 2021).

I welcome co-authorship, clinical partnerships, and reviewer invitations in ophthalmic AI, cohort-based clinical ML, and Arabic-language health NLP.

3degrees in the data-science / ML chain
1peer-reviewed publication (DOI-linked)
4conference and seminar presentations (2025–26)
2+hr → 7minclinical simulation speedup (HealthLumen, 2020)

Operator record: commercial case studies.