School of Mathematics, Statistics and Actuarial Science

Our academic staff

Academic members of staff

Lecturer, School of Mathematics, Statistics and Actuarial Science (SMSAS)
Senior Lecturer, School of Mathematics, Statistics and Actuarial Science (SMSAS)
Research interests: Harmonic Analysis; Geometric Measure Theory; Potential Theory; Partial Differential Equations; Linear and Non-Linear Elliptic Partial Differential Equations
Lecturer, School of Mathematics, Statistics and Actuarial Science (SMSAS)
Research interests: Mathematical modelling of the brain; Mathematical approaches to infer network connectivity; Multi-dimensional Hamiltonian systems, chaotic dynamics and complex statistics; Mathematical modelling of the spread of COVID-19 in communities; Nonlinear dynamics and long-term behaviour; Synchronisation, chimera-like states and emergence of collective behaviour in complex systems; Time-series analysis and forecasting; Any of the PhD projects I am offering, combined with machine learning and/or artificial intelligence approaches
Lecturer, School of Mathematics, Statistics and Actuarial Science (SMSAS)
Research interests: Mathematical biology/ecology, individual and group movement, random walk theory, movement and time-series data analysis, mathematical education.
Senior Lecturer, School of Mathematics, Statistics and Actuarial Science (SMSAS)
Research interests: Longitudinal data analysis; Survival analysis; Mendelian Randomization; Causal method (Instrumental variable method, structural mean model); Covariance modelling; Bioinformatics research for omic data
Lecturer, School of Mathematics, Statistics and Actuarial Science (SMSAS)
Research interests: Network Coding; Information Theory; Coding Theory; Mathematics Education
Faculty Dean Research (Science and Health) - Professor (R), School of Mathematics, Statistics and Actuarial Science (SMSAS)
Research interests: Animal movement and dispersal; Random walks and diffusion; Analysis of movement data; Collective behaviour; Human crowd behaviour; Animal social network analysis; Fisheries modelling, assessment, and management; Modelling population dynamics
Lecturer, School of Mathematics, Statistics and Actuarial Science (SMSAS)
Research interests: Computational neuroscience; Brain Connectivity; Deep Learning application in neuroscience; Blind Source Seperation for biomedical data analysis; Brain Computer Interface; Physiological signal Processing
Reader (R), School of Mathematics, Statistics and Actuarial Science (SMSAS)
Research interests: Statistical Mechanics; Disordered Systems; Theoretical Physics; Applied Mathematics; Condensed Matter Physics; Soft Matter Physics; Computational Physics; Physical Chemistry
Lecturer, School of Mathematics, Statistics and Actuarial Science (SMSAS)
Research interests: Commutative algebra
Lecturer, School of Mathematics, Statistics and Actuarial Science (SMSAS)
Research interests: Statistical Machine Learning; Statistical Inference; Statistical Models
Lecturer, School of Mathematics, Statistics and Actuarial Science (SMSAS)
Research interests: Numerical methods for recursive machine learning algorithms; Numerical methods for handling high-dimensional data sets; Predictive modelling; Numerical linear algebra in data science and machine learning; Natural Language Processing; Tensors and multiway data analysis
Lecturer, School of Mathematics, Statistics and Actuarial Science (SMSAS)
Senior Lecturer, School of Mathematics, Statistics and Actuarial Science (SMSAS)
Research interests: Reductive algebraic groups; Finite groups of Lie type; Representation varieties; Formalisation and automated theorem proving
Lecturer, School of Mathematics, Statistics and Actuarial Science (SMSAS)
Research interests: Optimal reinsurance and decentralized insurance; Quantitative Risk Management (QRM); Extreme Value Theory; Mathematical Finance
Lecturer, School of Mathematics, Statistics and Actuarial Science (SMSAS)
Research interests: Stochastic Processes; Probability Limit Theorems and Moderate Deviations; Time Series; Stochastic Algorithms
Lecturer, School of Mathematics, Statistics and Actuarial Science (SMSAS)
Research interests: Supply Chain & Logistics - Machine Learning Approach; Market Design and Optimisation; Revenue Management; Reinforcement Learning; Natural Language Processing, Large Language Models; Energy Analytics; Time Series Analysis
Senior Lecturer, School of Mathematics, Statistics and Actuarial Science (SMSAS)
Research interests: Statistics of extremes; Extreme value theory
Professor, School of Mathematics, Statistics and Actuarial Science (SMSAS)
Research interests: Combinatorics on words, particularly on the study of unavoidable factor sets and related topics; Mathematics Education
Senior Lecturer, School of Mathematics, Statistics and Actuarial Science (SMSAS)
Research interests: Applying algebra (for example, group theory) to study knots and braids; Mathematical education; Machine learning in mathematics; reinforcement learning applied to knot theory; Deep learning and reinforcement learning, applied to mathematical problems
Professor, School of Mathematics, Statistics and Actuarial Science (SMSAS)
Research interests: Actuarial Mathematics and Actuarial Modelling; Design of Optimal Bonus &ndash Malus Systems; Asset - Liability Management for Pension Funds; Performance Measurement for Pension Funds, Hedge Funds and Mutual Funds; Predictability of Financial Time Series; Risk Management and Solvency; Risk Theory
Head of School - Professor (R), School of Mathematics, Statistics and Actuarial Science (SMSAS)
Research interests: Groups defined in terms of graphs; Circulant matrices and graphs; Cyclically presented groups
Lecturer, School of Mathematics, Statistics and Actuarial Science (SMSAS)
Research interests: Mortality modelling and forecasting; Bayesian computational statistics; Bayesian model comparison; Estimation of marginal likelihoods (bridge sampling); Machine learning in actuarial science
Professor, School of Mathematics, Statistics and Actuarial Science (SMSAS)
Research interests: Stochastic Optimization and its applications in Logistics, Telecommunications, Revenue Management and Energy.; Stochastic Optimization and Markov Decision Process (MDP); Approximate Dynamic Programming (ADP) and Reinforcement Learning; Mixed-Integer Linear Programming (MILP) and solution approaches
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