Research

I am broadly interested in causal inference and experimental designs. My research focuses on developing and evaluating robust experimental design techniques to improve the precision and reliability of A/B tests, which can lead to more confident business decisions.

Papers

Ribeiro Junior, A. C. H. Rerandomization with Continuous Treatments. In preparation (2026+)

Ribeiro Junior, A. C. H., Branson, Z. Pilot-Informed Rerandomization with High-Dimensional Covariates. In preparation (2026+)

Ribeiro Junior, A. C. H., Branson, Z. Quantile-balanced Rerandomization. In preparation (2026+)

Ribeiro Junior, A. C. H. Langevin-Gradient Rerandomization. Submitted to Statistics and Computing (2026+)

Ribeiro Junior, A. C. H., Branson, Z. Does Rerandomization Help Beyond Covariate Adjustment? A Review and Guide for Theory and Practice. Submittted to Statistical Science (2025+). Received the 2026 Mihaela Serban award

Carzon, J., Masserano, L., Shen, A., Ingram, J., Ribeiro Junior, A. C. H., Dorigo, T., Doro, M., Speagle, J. Izbicki, R., Lee, A. Trustworthy scientific inference for inverse problems with generative models. Submitted to Machine Learning: Science and Technology (2025+)

Kalatzis, A. E. G., Martins-Filho C., Ribeiro Junior, A. C. H. Financial constraints and firm efficiency: Further empirical evidence. Finance Research Letters (2025).