Overview
My research is mainly focused in the world of Science of Science.
I study how science works as a social system, and how the inequalities we see in society are reproduced within science itself. Using large-scale data and computational methods, I pursue three questions that run through all of my work: who gets to participate in science, who gatekeeps it, and how knowledge and talent move across the world.
These questions map onto three areas: how diversity and inequality shape scientific impact and academic careers, including at the pivotal postdoctoral stage; the integrity of academic publishing, from editorial power and conflicts of interest to peer review and retractions; and the global geography of science, including the rise of AI research and the emerging research ecosystems of the Gulf and beyond. Alongside this, I study inequality in the labor market, biases in media coverage, and build the large-scale datasets and measures these questions require.
Cumulatively, my research contributes to the fields of computational social science, data science, and machine learning.
Through meticulous big data analysis and innovative methodologies, my aim is to provide valuable insights and evidence-based recommendations for policy reform.
To date, my work has been published in major academic journals, including Nature Human Behaviour, the Proceedings of the National Academy of Sciences, Nature Communications, Science Advances, and Scientific Reports. It has also been featured in Nature News, Times Higher Education, Physics World, New Scientist, Brookings, and many other outlets.