Data Champions Search

Additional areas of expertise:

Neuroscience data

I primarily develop and analyze large-scale language datasets using methods from the quantitative and computational social sciences (which sometimes overlap with the digital humanities). My main focus in doing this is on investigating language acquisition and use, though I also engage with related topics. To complement my research, I teach quantitative methods to a range of students, researchers, and staff from across Cambridge, as the lecturer for two courses: “Quantitative Methods for Analysing Language Data” and “Making Sense of Statistics”.

I am also an active science communicator, primarily via two websites that I author: Effectiviology (https://effectiviology.com/), where I write about psychology and philosophy that have practical applications, and Solving Procrastination (https://solvingprocrastination.com/), where I write about what procrastination is, what causes it, and how we can overcome it.

As a Data Champion, I focus on the use of quantitative and computational methods for working with data (e.g., for data wrangling and statistical analyses), as well as on open research. I also deal with associated topics, such as maximizing the impact of research through science communication.

I have DPhil from the University of Oxford, where I digitised a medieval Scottish translation of the 'Aeneid' and analysed it using corpus linguistic methods. I am very familiar with textual data, XML, XSLT, TEI, Roma, and I have some familiarity with performing statistical analysis using R.  
 Currently, I work at the Fitzwilliam Museum helping to create an online resource that showcases the museum's collection of early English portrait miniatures and the research that has been done on these works using non-invasive methods. As part of this role, I am gaining experience with HTML, CSS, and JavaScript, as well as some familiarity with IIIF