People
Academic staff
- Dr. Ben Baer – causal inference, survival analysis, exponential family matrix modelling. [School web page] [Personal web page]
- Prof. Rosemary Bailey – design of experiments in agriculture, horticulture, ecology and medicine. [School web page] [Personal web page]
- Dr. Regina Bispo – biostatistics, environmental statistics, multivariate statistics, spatial statistics. [School web page]
- Prof. David Borchers – spatial capture-recapture, camera trap surveys, terrestrial acoustic surveys. [School web page] Head of Statistical Ecology Research Group (part of CREEM).
- Dr. Rui Borges – population genetics, phylogenetics, Bayesian inference, bioinformatics. [School web page][Personal web page]
- Dr. Fergus Chadwick – modelling complex observation processes in ecology. [School web page]
- Dr. Chrissy Fell – deep learning for image interpretation.
- Dr. Alison Johnston – biodiversity monitoring; applications of citizen science in statistical ecology. [School web page] Head of Statistical Ecology Research Group (part of CREEM).
- Prof. Andy Lynch – design or analysis of molecular biology experiments, especially applications of DNA/RNA sequencing to cancer research. [School web page] Head of Statistical Medicine and Molecular Biology Research Group; co-head of Division of Statistics.
- Prof. Monique MacKenzie – random effects models; smoothing methods; applications in ecology. [School web page] [Personal web page] Vice-Principal (Digital Education, Research and Environment).
- Dr. Nicolò Margaritella – Bayesian statistics with applications to neuroscientific data. [School web page]
- Dr. Giorgos Minas – stochastic processes and multivariate statistics in molecular biology and medicine. [School web page]
- Dr. Elham Mirfarah – Multivariate analysis; survival analysis; finite mixture modelling; censored data. [School web page]
- Dr. Michael Papathomas – Bayesian methods with application to genetics and biostatistics. [School web page]
- Dr. Chris Sutherland – statistical ecology. [School web page] [Personal web page]
- Dr. Ben Swallow – Bayesian statistical inference; stochastic systems of biological processes; continuous zero-inflated data; applications in ecology. [School web page] [Personal 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. Eiren Jacobson – quantiative marine mammal population assessment. [School web page] [Personal 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. Laura Marshall – research software engineering, particularly distance sampling software. [School web page]
- Dr. Cornelia Oedekoven – methods for quantitative wildlife population assessment. [School web page] [Personal web page]
- Dr. Charles Paxton – statistical ecology; cryptozoology; public understanding of science. [School web page]
- Dr. Theoni Photopoulou – movement ecology; cumulative impacts of multiple stressors. [School web page]
- Dr. Eric Rexstad – distance sampling software and methods; methods and software support. [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. 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]
- Prof. Richard Cormack – capture-recapture. [School 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]
- Dr. Mehrdad Naderi – Multivariate analysis, model-based clustering, robust factor analysis, computational statistics.
- Prof. Stephen Senn – Design and analysis of clinical trials, statistics in drug development, inference. [Personal web page]
PhD students
- Mr. Louis Backstrom – citizen science as an alternative method of monitoring wildlife populations in space and time.
- Ms. Amber Cowans – effect of human recreation on spatio-temporal species interaction networks.
- Mr. Yan Ru Choo – modelling heterogeneity in ecological surveys.
- Ms. Rachel Drake – validation of spacies distribution models.
- Ms. Grace Edmonson – wildlife risk assessment for offshore wind energy.
- Ms. Chao Gao – Incorporating gene network dynamics to cell population models.
- Ms. Naici Guo – statistical analysis of proteomic experiments.
- Mr. Oliver Hartley – Developing an efficient and accessible “data-to-decision” pipeline for remotely sensed biodiversity monitoring data.
- Ms. 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.
- Mr. Abinand Reddy Kodi – developing spatial capture recapture methods for understanding snow leopard population ecology.
- Ms. Xiahui Li – approximate Bayesian computation using policy-driven summary statistics
- Mr. Haoyu Liu – algorithmic trading and dynamics in peer-to-peer (P2P) markets.
- Ms. Sarah Rehman – Uncovering the rules of dispersal and the consequences consequences for the distribution, dynamics, and persistence of pathogens and their hosts.
- Ms. Savannah Rogers – modelling population dynamics from photographic ID using spatial capture-recapture.
- Ms. Rebecca Supple – Causal inference and trial emulation for ecological observational data.
- Ms. Xiaoyue Yang – inferring gene regulation in prostate cancer.
- Mr. Hanyu (Harry) Wang – detecting clusters of multimorbidity using Bayesian mixture modelling.
- Mr. Yuheng Wang – automatic acoustic spatial capture recapture with machine learning.