News & Events
2023
- September 1, 2023 – Presenting “Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities” at the APSA Annual Meeting [Preprint]
- July 7, 2023 – Giving a virtual short course, “Causal Inference with Satellite Data”, at the Society for Causal Inference
- May 24, 2023 – 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]
- April 26, 2023 – Presenting new work at the Center for Data and Methods (CMD) Colloquium at the University of Konstanz (Germany)
- March 3, 2023 – Presenting new work at UT Austin’s Statistics & Data Sciences Seminar
- January 9, 2023 – Started teaching the graduate course, “Making Big Data” [Syllabus]
- January 6, 2023 – The paper, “Image-based Treatment Effect Heterogeneity”, accepted at CLeaR, PMLR [PDF]
2022
- November 7, 2022 – Presenting “Image-based Treatment Effect Heterogeneity” at the 2022 Causal Data Science Meeting [Slides]
- November 5, 2022 – Presenting “Image-based Treatment Effect Heterogeneity” at the Texas Methods (“TexMeth”) Meeting
- September 1, 2022 – Started teaching the graduate course, “Machine Learning in Political Science” [Syllabus]
- September 1, 2022 – Started teaching the graduate course, “Statistical Analysis in Political Science” [Syllabus]
- August 18, 2022 – Presenting “Image-based Treatment Effect Heterogeneity” at the 2022 RAND Center for Causal Inference (CCI) Symposium
- August 1, 2022 – Started an Assistant Professorship at the University of Texas at Austin
- April 29, 2022 – The book chapter, “Football Fandom in Egypt”, published in Routledge Handbook of Sports in the Middle East [PDF]
- July 17, 2022 – Received a Top 10% Reviewer Award from the International Conference on Machine Learning (ICML)
- April 8, 2022 – The paper, “Conceptualizing Treatment Leakage in Text-based Causal Inference”, accepted at NAACL [PDF]
- February 24, 2022 – Presenting “Learning to See Causal and Effect: Causal Inference with Images” at the Institute for Analytical Sociology, Linköping University, Sweden
- February 21, 2022 – Presenting “The Composition of Descriptive Representation” at an ETH Zurich seminar [Preprint]
- January 7, 2022 – The paper, “An Improved Method of Automated Nonparametric Content Analysis for Social Science”, published in Political Analysis [Link]
2021
- August 18, 2021 – Started as a visiting scholar in the Program on Governance and Local Development (GLD) at the University of Gothenburg, Sweden
- August 18, 2021 – Started a postdoctoral position at the AI and Global Development Lab, Linköping University, Sweden
- May 29, 2021 – Graduated from Harvard University with a Ph.D. from the Department of Government [Dissertation]
2020
- September 16, 2020 – Presenting “Detecting and Characterizing Latent Influence Dynamics in Social Science Data Using Machine Learning” at the Harvard Applied Statistics Workshop
- September 13, 2020 – Presenting “Detecting and Characterizing Latent Influence Dynamics in Social Science Data Using Machine Learning” at APSA
- July 14, 2020 – Presenting “Detecting and Characterizing Latent Influence Dynamics in Social Science Data Using Machine Learning” at PolMeth XXXVII
- May 28, 2020 – Received an A.M. in Statistics from Harvard University
- May 4, 2020 – The paper, “The impact of a transportation intervention on electoral politics: Evidence from E-ZPass”, published in Research in Transportation Economics [PDF]