People

I'm interested in approximate sampling algorithms (SMC, MCMC, and variational) for Bayesian inference, as well as in shared-outcome mechanism design (ie, democratic voting methods).

I am manager of instructional technologies at HGSE and formerly lab administrator and Prof. Miratrix's assistant. I hold a PhD in political and moral philosophy from the University of Manchester in the UK; my research considered the justice and morality...

My research applies geostatistical methods to causal inference questions, such as the geographic regression discontinuity design (GeoRDD). More broadly, I’m interested in pushing spatial and spatiotemporal methods to new scientific questions and...

My research focuses on problems at the interface of the mathematical sciences and public policy. My primary methodological work is in causal inference, focusing on questions of causal “data fusion,” in which observational and experimental data sources are...

I am currently working on developing interpretable text processing methods across a multitude of settings, such as social media, news articles, publicly available government reports, etc. In general, my research interests lie at the intersection of...

I study early childhood development, with a focus on measurement and the use of assessments internationally to assess the effects of programs and policies. I care about how we can ensure tests are appropriately contextualized and measure relevant context...

I was the lab administrator and Professor Miratrix’s assistant.

I’m interested in education research methods. My current work focuses on developing new measures of teamwork. I'm also interested in large-scale efforts to build causal knowledge about education systems, using experiments and administrative data.

My research focus is on developing statistical methods to understand causality. Much of my work addresses treatment effect heterogeneity; for example, in the context of multi-site trials with non-compliance, randomized clinical studies with longitudinal...