Jason Poulos

Postdoctoral Fellow,
Harvard Medical School




Google Scholar



Character-Based Handwritten Text Transcription with Attention Networks.
(with Rafael Valle). Neural Computing & Applications, 2021.
[arXiv] [Code]

Estimating Population Average Treatment Effects from Experiments with Noncompliance.
(with Kellie Ottoboni). Journal of Causal Inference, 2020.
[arXiv] [Code]

Land Lotteries, Long-Term Wealth, and Political Selection. Public Choice, 2019.

Missing Data Imputation for Supervised Learning.
(with Rafael Valle). Applied Artificial Intelligence, 2018.
[arXiv] [Supplementary Material] [Code]


RNN-Based Counterfactual Prediction, with an Application to Homestead Policy and Public Schooling.
(with Shuxi Zeng) [Code]

Adversarial Machine Learning: Perspectives from Adversarial Risk Analysis.
(with David Rios Insua, Roi Naveiro, and Victor Gallego).

Are Deep Learning Models Superior for Missing Data Imputation in Large Surveys? Evidence from an Empirical Comparison.
(with Zhenhua Wang, Olanrewaju Akande, and Fan Li). [Supplementary Material] [Code]

State-Building through Public Land Disposal? An Application of Matrix Completion for Counterfactual Prediction.
[Supporting Materials] [Code]

Amnesty Policy and Elite Persistence in the Postbellum South: Evidence from a Regression Discontinuity Design.