Data Champions Search

Dominik graduated from Applied Physics at the University of Warsaw, before transitioning to neuroscience. In 2021, he completed PhD at Cardiff University Brain Research Imaging Centre. Also, the same year, he became a Software Sustainability Institute Fellow concentrated on promoting good scientific programming practices. He organizes workshops focused on testing and code reviews. Currently, Dominik works as a Research Associate in the FlyConnectome group, where he develops computational tools that support structural analysis of a fruit fly (Drosophila) nervous system.

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 am a Neuroscience PhD student interested in big data and creating/sharing reproducible pipelines for data analysis. I would like to contribute to a culture of sharing code and spreading awareness of the importance of these topics.