Data and Stats Support

1:1 tutorials can be booked between 9th January and 15th March 2022

Need help troubleshooting R? Undergraduate students in their final dissertation year are offered one 45-minute appointment with a PGR Stats tutor. Appointments are made available on a week to week basis as our tutors allocate their time based around their PhD studies.

Click on one of our PGR Stats Tutor profiles below to book a 1:1 appointment. You will receive an email and calendar confirmation through your University Outlook account. Appointments can be online through Teams or on campus.

Use your appointment wisely! Before your appointment, you need to have all your data organised in one R-readable document, such as a spreadsheet, and have tried the statistical test you think you need to do AND identified at which stage of the process you got stuck. The tutors cannot tell you what to do, they can only help you with R troubleshooting!

Cancellations can be made up to 24 hours before the time of your tutorial by emailing the tutor and ASK team. If you miss your appointment without cancelling, you will not be able to book another.

Please note: if you have already had more than one appointment but would like another, please speak to your course supervisor. 

Please contact the ASK team if you have any questions. 

Emile Michels

Emile Michels

I’m a wildlife disease ecologist researching the role of pheasants as a reservoir for Lyme disease in the UK. I analyse data collection in both the field and the lab, as well as handling and manipulating large spatial data sets in R and QGIS. During my Msci at Exeter I tackled a wide variety of data sets and analytical problem, I’ve experience in everything from T-tests, non-parametric data analysis, bootstrapping to Bayesian modelling. Throughout I’ve developed fluency with the ‘tidyverse’ and ‘Ggplot’ packages and can help to solve and explain any data ‘wrangling’ and visualisation problems.     

Hugh_White_Profile

Hugh White

My PhD research aims to determine how ecological niche shapes bacterial genetic variation, and how this determines bacterial phenotype. I have a lot of experience working with generalised linear mixed models, ANOVA and post-hoc tests in R, in addition to using the program for bioinformatics. I have helped run statistics workshops and as such can help with code trouble-shooting, provide tips on visualising the data and provide guidance on packages you might need.

Jaimie Barnes

Jaimie Barnes

I’m an ecologist and molecular entomologist in training. I completed my bachelors and master’s degrees here in Penryn. I currently study a PhD on the mechanisms of insecticide detoxification in hoverflies. I have ample experience with data analysis and a range of statistics. I can perform simple tests from regressions and t-tests to generalised linear mixed effects models. I also have experience (limited) with survival analysis, GAMs, multinomial regression and KNN analysis. Using R, I can help you analyse your data using the most appropriate methods. Moreover, using ggplot, I can help you visualise your data and results.

Joe Westley

Joe Westley

My PhD research investigates how bacterial immune systems influence horizontal gene transfer. My masters project involved researching thermal adaptation in microbial communities. In R I can help with general coding issues, data handling, stats tests from simple linear regressions to mixed effect generalised linear models, growth rate analysis, and thermal performance curve analysis. I can also help with running bioinformatic tools from the unix command line, and I have experience analysing nanopore sequence data, with a particular focus on using nanopore to detect epigenetic modifications.

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.

Mel Weedon

Mel Weedon

I am an evolutionary ecologist studying senescence in a wild population of European badgers and conduct research on maternal and paternal effects on offspring, as well as changes in immune performance with age. I have extensive experience with utilising long-term life-history datasets and as such have skills in cleaning and manipulating large dataframes, utilising generalised linear mixed models, visualising data using packages such as ggplot2, and writing up results. 

Richard Massy

Richard Massy

I am a PhD student studying insect migration, specifically finding the adaptations of migratory hoverflies which allow them to make incredible annual migrations!

Can help with R and python. Aside from stats/ model building I have done circular stats and function building/ loops/ apply shenanigans.

Happy to help in any way I can!
 

Ryan Biscocho

Ryan Biscocho

I’m a third year PhD student studying the evolution of genomes, in particular how mobile elements can generate genomic and phenotypic change in their host genomes. I am a bioinformatician and an evolutionary biologist so I can help with statistical methods and bioinformatics (e.g. using UNIX command line to wrangle large numbers of files, coding in Python to create useful functions) as well as help you with interpreting the biological significance of your data. I am also particularly passionate about data visualisation and so I can help with figures and graph creation. 

Will Singleton

Will Singleton

I am an evolutionary biologist with a range of teaching experience. I demonstrate for a range of modules within CLES and I can provide support with data manipulation, statistical modelling and visualisation using R. I can also provide more general research advice regarding study design or effectively interpreting and writing up results, especially important for dissertations. My masters and PhD are investigating the evolution ageing in unicellular life where I have experience using a range of statistical tests, theoretical modelling, and evolutionary simulations. I have also been through the University of Exeter system so I can sympathise with how intimidating maths/stats can be!