معرفی
Christopher Greenman is a Lecturer in the School of Computing Sciences at the University of East Anglia. His academic background includes a mathematics degree from Durham University and a PhD from the University of Edinburgh, focusing on number theory and quantized harmonic oscillators. He has held roles at Bolton University, industry consultancy, and the Sanger Institute before joining UEA in 2011.
Education:
- Bachelor's in Mathematics, Durham University
- PhD in Mathematics, University of Edinburgh
Research Interests:
- Statistical physics applied to age-dependent branching processes
- Quantum field theory methods in biological systems
- Combinatorial approaches to genomic rearrangements
- Cancer and viral evolutionary processes
- Machine learning applications in drug discovery and genomics
Teaching: Advanced Statistics, Computing Principles, and Natural Science Project Coordination. His work contributes to UN Sustainable Development Goals related to health and innovation.
Research Groups: Computational Biology, Machine Learning and Statistics at UEA. Active in 56 peer-reviewed publications focusing on stochastic processes, mathematical biology, and genomic analysis.
