I study the social structure of science from both normative and descriptive perspectives.  

On the normative side, my conceptual work on biases and emerging norms in peer review has motivated changes to peer review processes at AI conferences, including the development of a new algorithm to measure and detect commensuration bias (see Shah 2022, Noothigattu, Shah, and Procaccia 2021).

On the empirical side, I have studied Black-white disparities in grant proposal scoring and funding at the National Institutes of Health, gender disparities in funding at the Doris Duke Charitable Foundation, and gender homophily in co-authorship across the JSTOR corpus.

My research has been published in venues across fields (e.g., Science, Science Advances, The Lancet, Plos One, Philosophy of Science) and covered by the Chronicle of Higher Education, STAT, and Chemistry World.  

My scholarship has been funded by the National Science Foundation, the National Institutes of Health, and the Royalty Research Fund (University of Washington).  I'm grateful to have held a Career Enhancement Fellowship (funded by the Mellon Foundation and administered by the Institute for Citizens & Scholars) and a Society of Scholars Fellowship (Simpson Center for the Humanities, University of Washington).  

I'm honored to have received the Philosophy of Science Association's Prize in Philosophy of Science & Race as well as (with Elena Erosheva) First Prize for most creative submission to NIH's Peer Review Challenge.

I am a Director at Rapid Science and previously served as an Advisory Board member for the Transparency and Openness Promotion (TOP) Guidelines and ASAPbio.  

At the University of Washington, I am a member of the AI Governance Committee and served on the Steering Committee for the UW Faculty 2050 Report.  I am a Professor in the Department of Philosophy, Adjunct Professor in the Information School (iSchool), and Affiliate Faculty with the Center for an Informed Public, Center for Statistics and the Social Sciences, Center for Studies in Demography and Ecology, eScience Institute, and Society + Technology Program.