Last updated: 2018-02-27.

I am a Postdoctoral Fellow at the Laboratory for Innovation Science - a new joint venture between Harvard's Business, Medical, and Engineering Schools. Previously, I was in the Sociology PhD program at the University of Chicago, where I worked with James Evans to apply new computational social science techniques to study the evaluation, robustness, and diffusion of scientific knowledge.

My research bridges Sociology of Science and Management - I study how institutional and organizational factors affect scientific discovery and other domains of collaborative knowledge production. Two core themes are:

  • Resource allocation:  How are financial and reputational resources allocated within the scientific community, and can these allocations be improved? I work with funding agencies and scientific journals to identify how the selection processes they use, such as peer review and expert committees, predispose them (often unintentionally) to select particular winners or losers, and how these decisions impact the type of science that gets done. 
  • Influence and valuation: Can the value of a scientific work be measured? I use computational surveys to explore what types of works scientists value, how they influence one another, and whether these networks of influence can be distilled from the scientific literature. I aim to develop methods with which we can more effectively identify and allocate resources to important research.

Methodologically, I specialize in computational analysis of large datasets, field experiments, and targeted surveys. I apply these tools to data and experimental settings provided by partners like Harvard Medical School, ConquerCancer, Elsevier, and Public Library of Science.

See the Projects page for more details.