About Me

My path to healthcare data science is rooted in a lifelong fascination with medical decision-making and the power of data to transform care. With a foundation in Computer Engineering (ND, HND) and Computer Science (PGD), I initially pursued technology from a systems perspective. But it was my work in Scotland's social care sector that crystallized my purpose.

As a registered Scottish Social Care Worker, I've spent over two years providing hands-on care in adult social care, palliative care, community and domiciliary care settings, and specialized end-of-life support for elderly and vulnerable people with challenging behaviors. This wasn't administrative work—I was on the frontlines, documenting patient needs in real-time, coordinating complex care pathways, managing medication schedules, and ensuring regulatory compliance while navigating the emotional and ethical complexities of palliative care.

During this time, I witnessed firsthand the challenges facing Scotland's health and social care systems: fragmented data across care settings, delayed clinical insights that could have prevented crises, overwhelmed emergency departments receiving patients who could have been supported in the community, and critical gaps in preventive care coordination. I saw elderly patients cycling through A&E due to disconnected information systems, and I documented care needs that never translated into actionable intelligence for service improvement.

But I also witnessed the transformative potential of better data systems. I saw how predictive analytics could identify high-risk patients before deterioration, how integrated care records could prevent dangerous medication errors, and how AI-powered decision support could help care workers like me provide more proactive, personalized support—especially in complex cases involving dementia, challenging behaviors, and end-of-life care.

This experience motivated my transition into advanced AI and data science. While continuing my care work, I pursued an MSc in Artificial Intelligence at the University of Stirling and earned CompTIA Data+ certification, building the technical skills needed to address the healthcare challenges I had observed daily. My dissertation focused on behavioral modeling using UK Census data—directly applying AI to understand population health patterns.

Today, I combine my unique perspective as both a frontline care professional and AI researcher to build practical, ethical analytics solutions for healthcare. I understand the human context behind every data point because I've been there—holding the hand of a dying patient while documenting their care preferences, explaining complex medical information to frightened families, navigating the bureaucracy of care systems, and seeing the real-world consequences of system failures and inefficiencies.

I've built nine healthcare analytics projects spanning NHS A&E demand forecasting, COVID-19 impact analysis across Scotland's 14 health boards, mental health service planning, fall risk assessment systems, pneumonia detection using medical imaging AI, and elderly social isolation detection systems. Each project is grounded in the realities of care delivery I witnessed firsthand.

My mission is to use AI and advanced analytics to improve patient outcomes, reduce healthcare inequities, support frontline care workers, and build more resilient, integrated health and social care systems across Scotland and beyond. I want to bridge the gap between technology and compassionate care—ensuring that AI serves the people I once cared for directly.