Constructing multicancer risk cohorts Permalink
This project used machine-learning models to identify groups at higher risk of future cancer using national data from medical helplines and secondary care
Hi! I’m Hadi, a data scientist working in healthcare.
I’m currently focusing on building and deploying analytical tools using large-scale health data to support earlier diagnosis, better service planning, and improved outcomes for patients. I enjoy working on end-to-end solutions — from shaping questions with clinicians and policy teams, to developing reproducible pipelines and interpretable models that can be used in real operational settings.
Previously, I led data science at a medical device start-up developing AI tools for detecting cognitive impairment, and before that worked as an analytics consultant across a range of sectors. I hold a PhD in Engineering from the University of Cambridge, and my background spans academic research, healthcare, and applied machine learning.
Below are examples of projects from my recent work and PhD that reflect my interest in using data science to solve meaningful, real-world problems.
Aiding diagnosis of cognitive impairment Permalink
This project developed and deployed a supervised machine learning model to detect mild cognitive impairment and Alzheimer’s Disease
Neural Network for nanoscience image recognition Permalink
Transfer learning techniques were applied for image recognition and automatic categorisation of nanoscience images obtained by scanning electron microscope
First annotated set of scanning electron microscopy images for nanoscience Permalink
A total of ~22,000 electron microscope images are classified into 10 categories to form 4 labeled training sets, suited for image recognition tasks