Sainath Suryanarayanan, PhD
UW Population Health Institute
610 Walnut Street, 919 WARF Building
Madison, WI 53726
Sainath studies the social dynamics of knowledge production in the context of clinical and translational research (CTR) as well as big data biomedicine. In collaboration with the Evaluation group in the Institute for Clinical and Translational Research (ICTR), Sai is centrally involved in two initiatives—(1) retrospective case study of what counts as “success” among Early-Career Clinical and Translational Researchers in the NIH-funded KL2 Scholars, and the factors shaping their “success”; (2) evaluating “team science” efforts to incentivize collaboration across multiple fields toward accelerating CTR outcomes of clinical and public relevance. Along with Paul Moberg, Sai is also the lead evaluator of the progress of the Center for Predictive Computational Phenotyping, which is supported by the Big Data to Knowledge Initiative of the NIH. In addition to these projects, Sai is contributing to other evaluation-related initiatives in ICTR.
Sai arrived full-time to the Population Health Institute in January 2017, with a multi-disciplinary background in molecular biology, behavioral ecology, and science and technology studies. Sai has published widely in a variety of refereed journals including Engaging Science, Technology, and Society; Social Studies of Science; Science, Technology & Human Values; and Current Biology. He recently co-authored Vanishing Bees: Science, Politics, and Honey Bee Health (Rutgers University Press, 2017).