Skip to content
2024
2023
- September 1 – Presenting “Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities” at the APSA Annual Meeting [Preprint]
- August 31 – Starting teaching the graduate seminar “Statistical Analysis in Political Science” [Past Syllabus]
- July 9 – Presenting new work at PolMeth XL [Slides TBA]
- July 7 – Giving a virtual short course, “Causal Inference with Satellite Data”, at the Society for Causal Inference [Register]
- 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]
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 [Preprint] [Code]
- January 7 – The paper, “An Improved Method of Automated Nonparametric Content Analysis for Social Science”, published in Political Analysis [Article] [Code]
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]
