News & Events
2024
- Spring – Teaching Gov 94jc (“Making Big Data”, M 12:45-2:45 pm) at Harvard University [Past Syllabus] [Expression of Interest]
- Spring – Teaching Gov 2018 (“Introduction to Machine Learning”, W 9:45-11:45 am) at Harvard University with Naijia Liu [Past Syllabus] [Expression of Interest]
2023
- December 2 – Presenting new work at the Interactive Causal Learning Conference
- October 12 (tentative) – Presenting new work at the Data Analytics Colloquium
- August 31 – Presenting “Leveraging Satellite Images in Observational Studies of Global Development: Challenges and Opportunities” at the Methodological Advances in Causal Inference panel [Slides] [Paper] [Code]
- August 31 – Starting the graduate seminar “Statistical Analysis in Political Science” [Syllabus]
- August 17 – Presenting new work at the Rand Center for Causal Inference 2023 Symposium
- July 9 – Presenting new work at PolMeth XL
- July 7 – Giving a virtual short course, “Causal Inference with Satellite Data”, at the Society for Causal Inference [Register] [Link for Participants]
- June 21 – “The Composition of Descriptive Representation” accepted at American Political Science Review [PDF] [Code]
- May 26 – Honorable Mention, Tom Ten Have Award, Society for Causal Inference [Details]
- May 24 – Presenting “Image-based Treatment Effect Heterogeneity” at the 2023 American Causal Inference Conference (ACIC) [PDF], collaborators presenting joint research, “Conceptualizing Treatment Leakage in Text-based Causal Inference” [PDF]
- May 10 – Collaborative project recognized as a Top 100 research initiative with potential for significant societal impact by the Royal Swedish Academy of Engineering Sciences [Details]
- April 26 – Presenting new work at the Center for Data and Methods (CMD) Colloquium at the University of Konstanz, Germany
- April 25 – Guest lecturing in STAT 288 – Deep Statistics: AI and Earth Observations for Sustainable Development, Statistics Department, Harvard University [Slides]
- April 13 – Presenting “Image-based Treatment Effect Heterogeneity” at CLeaR [Article PDF] [Summary PDF] [Code]
- March 3 – Presenting new work at UT Austin’s Statistics & Data Sciences Seminar
- January 9 – Started teaching the graduate seminar, “Making Big Data” [Syllabus]
- January 6 – The paper, “Image-based Treatment Effect Heterogeneity”, accepted at CLeaR, PMLR [PDF] [Code]
2022
- November 7 – Presenting “Image-based Treatment Effect Heterogeneity” at the 2022 Causal Data Science Meeting [Slides]
- November 5 – Presenting “Image-based Treatment Effect Heterogeneity” at the Texas Methods (“TexMeth”) Meeting
- September 1 – Started teaching the graduate seminar, “Machine Learning in Political Science” [Syllabus]
- September 1 – Started teaching the graduate seminar, “Statistical Analysis in Political Science” [Syllabus]
- August 18 – Presenting “Image-based Treatment Effect Heterogeneity” at the 2022 RAND Center for Causal Inference (CCI) Symposium
- August 1 – Started an Assistant Professorship at the University of Texas at Austin
- April 29 – The book chapter, “Football Fandom in Egypt”, published in Routledge Handbook of Sports in the Middle East [PDF]
- July 17 – Received a Top 10% Reviewer Award from the International Conference on Machine Learning (ICML)
- April 8 – The paper, “Conceptualizing Treatment Leakage in Text-based Causal Inference”, accepted at NAACL [PDF]
- February 24 – Presenting “Learning to See Causal and Effect: Causal Inference with Images” at the Institute for Analytical Sociology, Linköping University, Sweden
- February 21 – Presenting “The Composition of Descriptive Representation” at an ETH Zurich seminar [PDF] [Code]
- January 7 – The paper, “An Improved Method of Automated Nonparametric Content Analysis for Social Science”, published in Political Analysis [PDF] [Code]
2021
- August 18 – Started as a visiting scholar in the Program on Governance and Local Development (GLD) at the University of Gothenburg, Sweden
- August 18 – Started a postdoctoral position at the AI and Global Development Lab, Linköping University, Sweden
- May 29 – Graduated from Harvard University with a Ph.D. from the Department of Government [Dissertation]
2020
- September 16 – Presenting “Detecting and Characterizing Latent Influence Dynamics in Social Science Data Using Machine Learning” at the Harvard Applied Statistics Workshop
- September 13 – Presenting “Detecting and Characterizing Latent Influence Dynamics in Social Science Data Using Machine Learning” at APSA
- July 14 – Presenting “Detecting and Characterizing Latent Influence Dynamics in Social Science Data Using Machine Learning” at PolMeth XXXVII
- May 28 – Received an A.M. in Statistics from Harvard University
- May 4 – The paper, “The impact of a transportation intervention on electoral politics: Evidence from E-ZPass”, published in Research in Transportation Economics [PDF] [Boston Globe Write-up]
Research Areas
Short Bio
A.M., Statistics, Harvard (2020)
Ph.D., Government, Harvard (2021)
Since 2022: Assistant Professor in the Department of Government at the University of Texas at Austin.