Alumni
Catherine Armstrong Asher
catherinearmstrong@g.harvard.eduEducation (PhD '21)
Assistant Research Scientist, University of Michigan Youth Policy Lab
I study large scale literacy interventions and policies for struggling readers. In particular, I am interested in methodological approaches for understanding, measuring, and predicting treatment effect heterogeneity in literacy and leveraging this...
Guillaume Basse
Quantitative Researcher at Citadel Securities, based in London
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...
Masha Bertling
mbertling@g.harvard.eduEducation (PhD '21)
My primary research aim is to advance psychometric and statistical models to better inform educational policies and practices. I am particularly interested in improving the measurement of learning outcomes in education research and enabling scientifically...
Zach Branson
Statistics (PhD '19)
Assistant Teaching Professor, Carnegie Mellon University, Department of Statistics
My work focuses on developing new methods for designing and analyzing experiments and observational studies. I've worked on applications in education, engineering, health, and text analysis. I'm always interested in working with other researchers and...
Luis Campos
Statistics (PhD '19)
Senior Data Scientist, Etsy
I'm interested in understanding the principles that lead to successful model building and developing tools to guide practitioners to this end. These methodological developments and applied work have always been guided by collaborations with wonderful...
Jonathan Che
jonche10@gmail.comStatistics (PhD '23)
Scientist, Exponent
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...
Avriel Epps-Darling
avrielepps@g.harvard.eduDoctoral Candidate (G-4)
I am a computational social scientist who researches how adolescent racial and gender identity development is influenced by bias in digital products. My work illuminates the impact of algorithm design and computer-mediated social expectations --...
Dae Woong Ham
daewoongham@g.harvard.eduAssistant Professor, Ross Business School
I am currently an Assistant Professor at the Technology and Operations Department at the Ross Business School. I am interested in causal inference specifically in applications and methodologies in social sciences and business. I have completed my Ph.D. at...
Kristen Hunter
khunter@g.harvard.eduStatistics (G-7)
My research has explored questions of understanding unwanted sources of variation and their resulting consequences. One of my main areas of research is experimental controls, which is a structured way of detecting unwanted variation in experiments and...
Aaron R Kaufman
Government (PhD '19)
Assistant Professor, New York University Abu Dhabi, Political Science Department
I work on applying machine learning, especially text, and causal inference, especially in experimental design, to American political behavior and institutions.
Edward J Kim
ekim@bentley.eduEducation (PhD '21)
Assistant Professor, Bentley University, Mathematical Sciences Department
My research centers on translating issues in education research into statistics problems, and then developing models and data processing techniques to solve those problems. Topics of interest include private tutoring, teacher value-added models, and...
Emma Klugman
eklugman@g.harvard.eduEducation Policy and Program Evaluation (G-4)
My research is at the intersection of Statistics and Education. My doctoral research focuses on the teaching of statistics & data science, including text analysis of syllabi, latent profile analysis of statistics course-takers, embedding critical thinking...
Thomas Leavitt
Postdoctoral Research Fellow, Harvard Medical School
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...
Matthew Lenard
mlenard@g.harvard.eduEducation Policy and Program Evaluation (G-5)
My work focuses on using experimental and quasi-experimental research designs to measure the impacts of education programs and policies. I typically study topics at the intersection of education and labor economics, especially teacher labor markets...
Sophie Litschwartz
slitschwartz@g.harvard.eduEducation (PhD '21)
My primary area of research is high school exit exams. I study both the causal impact of high school exit exam policies on students and the psychometric properties of the exams themselves. I also work on topics at the intersection of neighborhoods and...
Reagan Mozer
Statistics (PhD '19)
Assistant Professor of Mathematical Sciences, Bentley University
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...
Nozomi Nakajima
nnakajima@g.harvard.eduEducation Policy and Program Evaluation (G-5)
My research uses causal inference methods to examine how education policies and programs perpetuate or ameliorate inequality. I am interested in understanding the mechanisms underlying education policies and programs (i.e., how they are designed, who they...
Nicole Pashley
Statistics (PhD '20)
Assistant Professor, Rutgers University, Department of Statistics
I'm interested in improving tools and methodology in causal inference and experimental design
Jameson A. Quinn
Statistics (PhD '20)
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).
Dean A. Redfearn
Former Lab Administrator
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...
Maxime Rischard
Statistics (PhD '19)
Lead Scientist, Cervest
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...
Evan Rosenman
Harvard Data Science Initiative Postdoctoral Fellow
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...
Lily Stanton
lily_stanton@gse.harvard.eduLab Administrator
I was the lab administrator and Professor Miratrix’s assistant.
Ben Weidmann
benweidmann@g.harvard.eduEducation (PhD '21)
Director of Research, Harvard Skills Lab
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.
Lo-Hua Yuan
Statistics (PhD '19)
Senior Data Scientist, Airbnb
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...
