Dr. Fergus Chadwick – modelling complex observation processes in ecology. [School web page]
Prof. Alison Johnston – biodiversity monitoring; applications of citizen science in statistical ecology. [School web page] Head of Statistical Ecology Research Group (part of CREEM).
Dr. Nathan Kirk – quasi-Monte Carlo, Markov chain Monte Carlo, numerical analysis, machine learning / deep learning. [School web page][Personal web page]
Prof. Andy Lynch – design or analysis of molecular biology experiments, especially applications of DNA/RNA sequencing to cancer research. [School web page]
Dr. Nicolò Margaritella – Bayesian statistics with applications to neuroscientific data. [School web page]
Dr. Giorgos Minas – modelling and Bayesian inference for stochastic nonlinear dynamical systems in biology; supervised learning and analysis of large-scale dynamic gene expression data. [School web page]
Dr. Michael Papathomas – Bayesian methods with application to genetics and biostatistics. [School web page]
Prof. Len Thomas – methods and software for wildlife estimating population size and trend; Bayesian inference for population dynamcis models; estimating effects of multiple stressors. [School web page] [Personal web page] Head of Statistical Methodology Research Group; co-head of Division of Statistics.
Dr. Hannah Worthington – Hidden Markov models for mark-recapture analyses; spatial capture-recapture, movement and behaviour modelling, machine learning and human-in-the-loop identification. [School web page]
Research staff
Dr. M. Louise Burt – wildlife population assessment. [School web page]
Dr. Ian Durbach – wildlife abundance estimation from camera traps; machine learning; operations research. [School web page]
Dr. Danielle Harris – use of acoustic data to monitor wildlife populations. [School web page]
Dr. Saana Isojunno – marine renewables and wildlife; quantitative animal ecology, particularly drivers of individual flexibility and resilience to stress. [School web page]
Dr. Wei Jing – Gaussian mixtures and Bayesian mixtures of finite mixture models.
Dr. Tiago Marques – topics in statistical ecology, including density estimation from passive acoustic data; public understanding of statistics. [School web page]
Dr. Lindesay Scott-Hayward – spatially adaptive smoothing; modelling species distributions; environmental impact assessment; spatially-explicit power analysis. [School web page] [Personal web page]
Honorary and emeritus staff
Prof. Rosemary Bailey – design of experiments in agriculture, horticulture, ecology and medicine. [School web page] [Personal web page]
Prof. Steve Buckland – statistical ecology, especially modelling population dynamics, widlife resource management and population assessment, distance sampling and biodiversity monitoring. [School web page] [Personal web page]
Dr. Carl Donovan – data mining, commercial statistics, multivariate statistics. [School web page]
Prof. Peter Jupp – directional statistics, differential geometry of parametric inference, quantum stochastics. [School web page]
Dr. Théo Michelot – methods and software for analysis of animal movement data, particularly using state-space and hidden Markov models, and stochastic differential equations. [School web page] [Personal web page]
Prof. Stephen Senn – Design and analysis of clinical trials, statistics in drug development, inference. [Personal web page]
PhD students
Nourah Alshahrani – Bayesian spatio-temporal Poisson regression modeling of human Nipah virus outbreaks (1998–2025). (Supervisor: Ben Swallow.)
Alessandro Araldi – Multi-Tool Approach to Population Management of Leopards (Panthera pardus) Across Regions. (Supervisor: Chris Sutherland.)
William Ashton – Bridging philosophy and ecology: ethical decision-making in wild salmonid conservation. (Supervisors: Fergus Chadwick, Gerry Hough (Univ. Aberdeen), Collin Bean (NatureScot), Fiona Seaton (UKCEH) and Thomas Cornulier (BioSS).)
Louis Backstrom – Citizen science as an alternative method of monitoring wildlife populations in space and time. (Supervisors: Alison Johnston and Hannah Worthington.)
Yari Cerruti – Demo-PoMos: Modeling varying demography along phylogenies with Polymorphism-Aware Phylogenetic Models. (Supervisors: Rui Borges and Carolin Kosiol (Biology))
Amber Cowans – Effect of human recreation on spatio-temporal species interaction networks. (Supervisors: Chris Sutherland and Anne Magurran (Biology))
Yan Ru Choo – Modelling heterogeneity in ecological surveys. (Supervisors: Alison Johnston and Chris Sutherland.)
Diogo Da Silva Ribeiro – Inferring gene flow from phylogenies with ubiquitous genomes. (Supervisors: Rui Borges and Carloin Kosiol (Biology).)
Rachel Drake – Validation of spacies distribution models. (Supervisors: Alison Johnston and David Borchers.)
Samuel Durston – Assessing the effects of offshore wind infrastructure on seabirds and marine mammals from digital aerial survey data (Supervisors: Fergus Chadwick, Chris Sutherland, Deon Roos (University of Aberdeen), Jack Forster (HiDef))
Grace Edmonson – wildlife risk assessment for offshore wind energy. (Supervisors: Len Thomas, Saana Isojuuno and Lindesay Scott-Hayward.)
Chao Gao – Using supervised learning to quantify signals transmission. (Supervisors: Giorgos Minas and Michael Papathomas.)
Muslima Gazieva – Identifying complex spatio-temporal biomarkers of brain disseases. (Supervisors: Nicolò Margaritella and Michael Papathomas.)
Gordon Hannah (currently at NOVA University of Lisbon) – Integrating multivariate modelling with stochastic optimization to plan firebreaks. (Supervisors: Regina Bispo and Chris Sutherland, plus Filipe Marques at NOVA U. of Lisbon.)
Oliver Hartley – Developing an efficient and accessible “data-to-decision” pipeline for remotely sensed biodiversity monitoring data. (Supervisor: Chris Sutherland.)
Dinah Hartmann – Estimating spatial and temporal patterns in density of harbour porpoises in the North Sea using datasets from passive acoustic ocean observation networks with data flow to EU Digital Twin Ocean database. (Supervisors: Len Thomas, Peter Tyack (Biology) and Jamie Macaulay (Biology).)
Xiahui Li – Approximate Bayesian computation using policy-driven summary statistics. (Supervisors: Ben Swallow and Fergus Chadwick.)
Zhiwei (Jackie) Li – High-dimensional functional time series modelling of environmental data. (Supervisors: Nicolò Margaritella, Luca Margaritella (Lund University) and Michael Papathomas.)
Haoyu Liu – Algorithmic trading and dynamics in peer-to-peer (P2P) markets. (Supervisors: Ben Baer, Len Thomas and Carl Donovan.)
Jiayi Liu – Hidden Markov models for spatially structured populations. (Supervisors: Hannah Worthington and Chris Sutherland.)
Miguel Martins (Currently at U. Lisboa.) – Data integration approaches for improved cetacean density surface models. (Supervisors: Tiago Marques and Len Thomas.)
Rebecca Supple – Causal inference and trial emulation for ecological observational data. (Supervisors: Ben Swallow and Hannah Worthington.)
David Sweeney – Taking a deeper dive into goose-beaked whale population consequences of disturbance. (Supervisors: Len Thomas and Enrico Pirotta (Biology).)
Hanyu (Harry) Wang – Detecting clusters of multimorbidity using Bayesian mixture modelling. (Supervisors Michael Papathomas and Nicolò Margaritella.)
Yuexin Wu – Bayesian finite mixture mixed effects Models for Longitudinal Data with Missing and Censoring. (Supervisors: Alison Johnston and Ben Baer.)
Xiaoyue Yang – Inferring gene regulation in prostate cancer. (Supervisors: Andy Lynch and Giorgos Minas.)
