Overview
I am interested in theory and methodology for network analysis, causal inference and statistical/computational tradeoffs and in applications in the social sciences. Modern data streams frequently do not follow the traditional paradigms of n independent observations on p quantities of interest. They can include complex dependencies among the observations (e.g. interference in the study of causal effects) or among the quantities of interest (e.g. probabilities of edge formation in a network). My research is concerned with developing theory and methodological tools for approaching such modern data structures by better understanding these underlying dependence structures. My work concentrates on better understanding Kronecker covariance structures as they are related to network analysis and high dimensional unbalanced factorial designs. I work on theory and methodology for high dimensional data as it relates to network analysis, causal inference and computational and statistical tradeoffs. My primary applied interest is in the health and social sciences with past and ongoing collaborations studying friendship formation in high schools, employment outcomes for college graduates and job mobility as a function of an underlying social network.
Current Appointments & Affiliations
Associate Professor of Statistical Science
·
2023 - Present
Statistical Science,
Trinity College of Arts & Sciences
Recent Publications
Designing Social Media to Promote Productive Political Dialogue on a New Research Platform
Preprint · June 3, 2025 Full text CiteThe Causal Effects of Political Incivility in Social Media Discussions
Preprint · April 23, 2025 Full text CiteBias and excess variance in election polling: A not-so-hidden Markov model
Journal Article Journal of the Royal Statistical Society Series A Statistics in Society · April 1, 2025 With historic misses in the 2016 and 2020 US Presidential elections, interest in measuring polling errors has increased. The most common method for measuring directional errors and non-sampling excess variability during a postmortem for an election is by a ... Full text CiteRecent Grants
Comparative effectiveness of EEG guided anti-seizure treatment in acute brain injury
ResearchPrincipal Investigator · Awarded by Massachusetts General Hospital · 2023 - 2028RAISE:IHBEM: Equilibrium network formation and infectious-disease spread: bridging the divide between mathematical biology and economics
ResearchCo Investigator · Awarded by National Science Foundation · 2022 - 2026FAI: An Interpretable AI Framework for Care of Critically Ill Patients involving Matching and Decision Trees
ResearchCo-Principal Investigator · Awarded by National Science Foundation · 2022 - 2026View All Grants
Education, Training & Certifications
University of Washington ·
2013
Ph.D.
The University of Chicago ·
2009
B.Sc. (hons)
The University of Chicago ·
2009
M.S.