Members of the Mathematics and Statistics Research Group (MSRG)

A variety of staff work within the Mathematics and Statistics Research Group (MSRG). You can take a look at their research interests and contact details below:

Dr Vadim Zverovich (Head of MSRG)

• Graph theory
• Operational research
• Probabilistic methods
• Decision analysis

Dr Jason Anquandah

• Stochastic control theory
• Survival analysis
• Finance
• Actuarial science

Dr Lloyd Bridge

• Mathematical modelling and scientific computing
• Biomathematics
• Mathematical pharmacology and G-protein coupled receptors
• Biomedical modeling and NF-kappaB dynamics
• Modelling fluid flow and phase change in porous media 

Dr Narges Dailami

• Medical statistics 
• Applied statistics 
• Experimental design application

Dr Ben Derrick

• Philosophy of statistics
• Applications in frequentist inference
• Statistical robustness
• Teaching and learning of statistics

Dr Rhys Gwynllyw

• Algorithmic e-assessment systems
• Behaviour of particles
• Evolutionary computation
• Spectral element meshes

Dr Karen Henderson

• Algorithmic e-assessment systems
• Technology-enhanced learning
• Behaviour of particles
• Water waves

Dr Xiaodong Li

• Operational research
• Transportation
• Logistics
• Healthcare
• Renewable energy

Dr Paul Matthews

• Digital support for mental health
• Natural language processing
• Humanities analytics

Tara Rasti

• Deep learning
• Machine learning
• Artificial intelligence in healthcare and medicine
• Computational neuroscience

Clemence Rhodes-Maquaire

• Applied statistics
• Data science 
• Data analysis 
• Mental health

Indunil Sikurajapathi

• Algorithmic e-assessment systems
• Mathematical education
• Numerical analysis
• Numerical linear algebra 

Dr Andrew Smith

• Medical statistics
• Causal inference
• Post-selective inference
• Prognostic models

Dr Emily Walsh

• Adaptive mesh methods
• Optimal transport methods
• Numerical weather prediction

Dr Paul White

• Applied statistics
• Statistical methodology
• In silico simulation for evaluating statistical behaviour

Dr Hisham Ihshaish

• Machine learning
• Artificial intelligence
• Large-scale data analysis

Dr Mario Orsi

• Multi-scale molecular dynamics
• Lipid membranes
• Drug permeation
• Coarse-grained modelling

Dr Kamran Soomro

• ICT for smart cities and urban management
• Artificial intelligence
• Big data

Dr Jan Van Lent

• Numerical analysis
• Numerical linear algebra
• Scientific computing
• Optimal transport

Dr Anush Poghosyan

• Graph theory
• Networks
• Probabilistic methods
• Data analysis
• Agent-based modelling