You can book a 1:1 online tutorial with one of our CLES postgraduate tutors, or contact the ASK team if you have any questions. 

Please note: if you have already had more than one appointment but would like another, please do not book another and speak to your course supervisor. 

Image of Alba - Maths & Stats PGR Tutor

Alba Costa Lorenzo

My research focuses on the effects of ecological restoration through exotic plant species removal on mutualistic and antagonistic interaction networks, with a special focus on seed-dispersal. I have experience working with generalised linear mixed models (GLMMs) in R, and I can help with coding, data processing, data visualization and statistical modelling. I can also provide advice on how to present the results efficiently using attractive and informative graphs and contribute with useful resources.

Ali Gardner CLES

Ali Gardner

I am a final year PhD student investigating how climate change may impact agriculture and specifically, how it might change the crops we are able to grow in different locations. I work with large spatial datasets and spend a lot of my time writing code in R.

I can help with data organisation and manipulation in R. I have previously tutored statistics up to Masters level, so can help you to apply content from stats modules to your own data

Brit Trew Profile Photo Maths and Stats

Brit Trew

My research is focused on the potential for microenvironment to mitigate projected climate change impacts on terrestrial biodiversity hotspots. I work with a range of different data types, including large climate datasets, survey data, and landcover data. I can provide help and support in handing and processing large datasets using R code. I can also advise on statistical analysis of spatial data in R, ArcGIS, and/or QGIS, and how to produce quality maps and other figures. If you use a Mac computer, as a Mac user myself, I can also help you with Mac-specific issues relating to GIS software or R packages.

Dave Hudson Photo

Dave Hudson

I'm a third year PhD student investigating the epidemiology of bovine TB in badgers. My PhD is very stats heavy and I work with large datasets so am used to lots of data wrangling. I focus mostly on survival analysis in a Bayesian Framework. I am always excited by new challenges and pleased to help however I can.

Dugald Foster

Dugald Foster

I work on the evolution of cooperation in humans, including the evolution of social learning and cultural transmission. I have experience working with phylogenetic, demographic, epidemiological and survey data. I can provide support in R, including help with data transformation, visualisation and statistical modelling. I'm also interested in causal inference, and would be happy to discuss the validity of conclusions you draw from your combination of data, study design and statistical models. (Basically, making sure you’re testing what you think you’re testing!)

Meaghan profile photo maths and stats

Meaghan Castledine

My research examines how microbes evolve and adapt, particularly in phage therapy (the use of viruses to treat bacterial infections) and in microbial communities. I have experience in statistical analyses from simple t-tests and regressions to complex generalised linear mixed effects models and I have experience in interpreting growth rate and survival analyses; I can help you build and interpret these models in R. I can also help with data visualisation using R packages such as ggplot.

Melanie Chan

Melanie Chan

I am studying the use of stable isotope technology to infer migration status of birds from different breeding population origins. My broader interests include urban avian ecology and conservation.
My experiences in R include basic data processing, linear model and generalized linear model construction and so on. I am also happy to help with topics such as experimental design and the interpretation of statistical results.