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]
  • 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. Fergus Chadwick – modelling complex observation processes in ecology.
  • 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. Phil Bouchet – population consequences of disturbance to North Atlantic right whales; quantitative marine ecology. [School web page] [Personal web page]
  • 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.

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. Fanny Empacher – efficient methods for fitting nonlinear non-Gaussian state-space models of wildlife population dynamics.
  • Mr. Calliste Fagard-Jenkin – parallel computing algorithms in ecological statistics.
  • Mr. Filippo Franchini – continuous time acoustic spatial capture recapture with drones.
  • Ms. Chao Gao – Incorporating gene network dynamics to cell population models.
  • Ms. Naici Guo – statistical analysis of proteomic experiments.
  • 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.
  • Mr. Felix Petersma – acoustic and genetic abundance estimation methods for marine megafauna.
  • Mr. Yifei Qian – applying machine learning techniques in ecology.
  • Mr. Victor Velasco Pardo – statistical models for mutational signatures.
  • Ms. Savannah Rogers – modelling population dynamics from photographic ID using spatial capture-recapture.
  • 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.

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