Data Champions Search

My research focuses on the applications of machine learning to problems in structural biology and drug discovery.

I primarily work with large-scale language datasets, using methods from quantitative and computational social sciences, as well as the digital humanities. I also teach associated research methods, like statistics, data wrangling, and visualization. 

Outside my research, I am 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, why we do it, and how to 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). I also deal with associated topics, like maximizing the impact of research through open research and 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. 

Providing bioinformatics support to ~30 research groups in the Centre for Trophoblast Research (CTR).

Additional areas of expertise:

Systems admin.