Clinician turned data scientist building medical foundation models for cardiology — multimodal AI for diagnostic medicine.
A physician who moved into computational medicine to build diagnostic tools that scale. I value vision-focused teamwork and global contribution to diagnostic medicine.
Clinical rotations across internal medicine, emergency, surgery, paediatrics, obstetrics and psychiatry.
Emergency and outpatient care across three hospitals; led clinical audits and service improvements.
Systematic reviews, clinical coding, telemedicine, secondary health data and gamification of healthcare.
R / Python, statistics, dashboards (OECD, NHS Scotland), Shiny for Python, Apache Spark, SQL and NLP.
The thesis: diagnostic systems that fuse the signals using multimodal methods to auto-diagnose CVDs and run in parallel with conventional clinical workflows.
A structured instrument for critically appraising medical foundation models — risk of bias and applicability for clinical ML.
Multimodal ML for automated cardiovascular diagnosis, fusing ECG, EHR and demographic data.
ICD-10 implementation and EHR systems' impact on healthcare delivery and patient experience.
View on GitHubPopulation-level analysis of secondary health data utilization in public-health research.
View on GitHubA mobile prototype to modernize medical referrals across Iraqi healthcare.
View on GitHubTrustworthiness vs readability of health information using established standards and metrics.
View on GitHubDesign and implementation of a hospital intranet for improved clinical workflow.
View on GitHubPhenomenological study design exploring cardiovascular patients' experiences with wearables (Morriston).
View on GitHubSystematic PRISMA review of ethical challenges in healthcare gamification.
View on GitHubInjury patterns across Scottish health boards in R and Python, with JSON data processing.
View on GitHubOECD healthcare data analysis to inform teleconsultation policy recommendations.
View on GitHubPattern analysis of COVID-19 in Scotland using Python and interactive visualizations.
View on GitHubInteractive Shiny-for-Python dashboard analyzing OECD healthcare utilization.
View on GitHubStatistical analysis of mHealth impact on medication adherence and NHANES exploration.
View on GitHubGradient-boosted-trees classifier on 100,000+ hospital encounters using Apache Spark.
View on GitHubSQL and MariaDB analysis of nine years of GP prescribing data with ERD design.
View on GitHubTwo-stage YOLO + Vision Transformer pipeline that localises ECG leads and predicts SNOMED-CT diagnoses from raw 12-lead images.
View on GitHub8/10 modules: big data analytics, databases, applied software dev, statistics, research foundations.
Gamification, knowledge management, systems & tech, secondary health data, classifications & records.
Rotations across internal medicine, emergency, surgery, paediatrics, obstetrics and psychiatry.
Clinically accurate, patient-friendly content; iterative editorial work with medical reviewers.
Rotator / chief / emergency roles across hospitals and clinics; led audits and service improvements.
Particularly in medical informatics and AI for cardiology. Let's talk.