Statistics and Data Science
Developing and applying statistical inference, decision theory & optimisation, machine learning and visualisation techniques that will process data and draw new insights and knowledge from the data.
Bayesian Inference
- Time-series analysis, streaming data
- Robust statistics, inverse regression
- Scalable algorithms (Big Bayes)
Decision Theory & Optimisation
- Adaptive utility, sequential decision-making
- Lightweight and private optimisation
Machine Learning
- Linear & Logistic Regression
- Support Vector Machines & Kernel Methods
- k-Means Clustering and Mixture Models for Unsupervised Learning
- Neural Networks
- Deep Learning
Data Visualisation
- Visual Information – perception and understanding
- Graph, Spatial and Interactive data visualisation
Sample Application Areas
- Ecology, astronomy
- Vision/video
- Social networks
- Health
- Fintech
Faculty Members
| Staff Name Research Group & Centres | Research Interests | Link to Partial List of Publications |
|---|---|---|
| Benavoli, Alessio | Bayesian statistics, probabilistic machine learning |  |
| Brophy, Caroline | Statistical modelling of non-standard situations, such as ecology, biodiversity, agronomy | |
| Georgiadis, Athanasios | Nonparametric statistics, Spatial statistics, Bayesian statistics, Mathematics. |
|
| Keaney, Aideen |
User perceptions of social networking sites. Trust and privacy as they relate to technology. Online identity theft | |
| Ng, Tin Lok James | Network Analysis, Mixture Model, Bayesian Statitics, Spatial Statistics | |
| Computational statistics, applied statistics, model based clustering, pharmacoeconomics. | |
|
| Wilson, Simon INSIGHT, ADAPT |
Bayesian statistics, statistical reliability, interface of information and communications systems and statistical learning, computationally intensive statistics | |
| Latent Gaussian models, Model based clustering, Bayesian methods, Bayesian model determination, block modelling, changepoint models, application based model development | |
|
| Zhang, Mimi |
Stochastic Modelling, Markov Decision Process, Multivariate Modelling, Data Mining | |