Advanced coursework spanning machine learning, deep learning, statistical modelling, medical image analysis, clinical bioinformatics, and computational methods for multi-modal data analysis.

• Modules: Machine Learning & Advanced Data Methods · Medical Image Analysis & AI · Clinical Bioinformatics · Statistical Modelling & Inference for Health · Programming for Health Data Science
• Student Representative, gathering cohort feedback and liaising with academic staff to improve the student experience
• Technical stack: Python, R, SQL; scikit-learn, TensorFlow/Keras; ITK/SimpleITK; Power BI and Tableau

Comprehensive foundation in clinical sciences, physiology, and biomedical pathways. This grounding underpins my applied work in health data science.

• Developed core research skills through laboratory work and clinical data collection
• Strong foundation in scientific reasoning and biomedical methodology