Data Science & Machine Learning
Developing data-driven methods for prediction, pattern discovery, and decision support in complex environments.
Research
Research Interests
I am interested in applying data science, machine learning, and quantitative analysis to research-oriented problems, particularly in biomedical data, image data, medical imaging, and decision-support contexts. I do not currently have publications to list.
Future Direction
Areas of interest
Current interests focus on methods, workflows, and systems that support careful analysis and clear interpretation.
Biomedical AI & Computational Biology
Applying machine learning to genomic, transcriptomic, and medical imaging data to better understand biological systems and disease mechanisms.
Human-Centred AI
Exploring how AI systems can support human learning, creativity, interpretation, and decision-making through transparent and interactive interfaces.
Quantitative Analysis & Research-Oriented Data Systems
Building analytical frameworks and scalable data systems for quantitative research, forecasting, and evidence-based decision-making.
Computational Social Systems
Using data, simulation, and computational models to study collective behaviour, social dynamics, and complex systems.
Emerging Interests
Robotics • Reinforcement Learning • Explainable AI • Computational Neuroscience