Antony McCabe

Dr. Antony McCabe is a Lecturer in Computer Science who divides his time between academia and the Computational Biology Facility. His work focuses on bridging artificial intelligence with biomedical challenges through software development, data analysis, and user interface design.

• Lecturer in Computer Science
• Member of Computational Biology Facility

Research Interests

McCabe specializes in applying AI techniques like neural networks and large language models to biomedical problems. His contributions include:

• Developing the lcmsWorld 3D visualization software for mass spectrometry
• Advancing the Allele Frequency Net Database for HLA diversity analysis
• Creating immunoinformatics tools for ethnicity-specific vaccine design
• Building infrastructure for biomedical data processing and storage

Research Trends

His publications reveal a consistent focus on computational biology infrastructure (4/6 papers), AI applications in immunology (3/6), and software development for proteomics (2/6). Key themes include data standardization, ethnic diversity considerations, and visualization techniques.

Current Projects

He is currently tuning large language models to analyze biological literature through a Biotechnology & Biological Science Research Council (BBSRC) grant (2024-2026).

Teaching

McCabe co-ordinates the COMP222 module on computer game design while also teaching algorithmic game theory, programming languages, and human-centric computing.