Data Champions Search

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'm currently a PhD student in phonetics, also previously trained in economics. The commonality of the two fields is that they both rely on the robust analysis of reliable empirical data to reveal patterns of the world. My current research explores speech data to shed light on the cross-linguistic prosodic system. I'm also interested in making speech data openly accessible to facilitate language preservation and phonetic research.