Alumni

Research on, among other things, Causal Inference and Design of Experiments in the presence of interference. Guillaume got his PhD in Statistics at Harvard in 2018, under the supervision of Edo Airoldi. Before coming to Harvard he attended the Ecole...

I'm interested in building connections between statistical methods and their real-world applications, with a focus on statistical consulting. My research revolves around applied Bayesian modeling and causal inference in contexts ranging from education to...

My research develops methods in causal inference, with a specific emphasis on Difference-in-Differences, design-based inference and its integration with Bayesian methodology. I apply these methodological developments to studies of racial and ethnic...

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 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 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...

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...

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'm interested in improving tools and methodology in causal inference and experimental design

My research focuses on the development and application of methods for causal inference with complex data, including text data, randomized experiments complicated by issues such as non-compliance, and observational studies. I find myself constantly drawn...