Data Champions Search

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 postdoctoral fellow at The Gurdon Institute, University of Cambridge, UK. My research interests are mitochondrial and redox biology, cancer research, tumor suppressors, mitochondrial stress signaling, mitochondrial dynamics, reactive oxygen species, apoptosis, hypoxia, transcriptional cyclins, mitochondrial DNA inheritance, mitochondrial recombination, mitochondrial DNA polymerase gamma, cytochrome c oxidase, germline development, and Drosophila genetics.

I’ve been working in the Department of Psychiatry for almost a decade now. I specialise in improving process and workflow and in research data management. I also work in branding, digital recruitment, website design and administration, social media management, and data architecture. I am particularly good at thinking of new and creative solutions to emerging problems. I am currently working on ways to govern and organise the many research projects within my department and in the School of Clinical Medicine, and on creating ways to share research and imaging data (MRI, PET etc) openly.  

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.