2025
A copula-based Bayesian framework for doping detection.
Comput. Stat., April, 2025

Platform-based Adaptive Experimental Research in Education: Lessons Learned from The Digital Learning Challenge.
Proceedings of the 15th International Learning Analytics and Knowledge Conference, 2025

2024
Artificial Intelligence-based Decision Support Systems for Precision and Digital Health.
CoRR, 2024

Anomaly Detection in Multivariate Profiles with Conformal Bayesian Inference.
Proceedings of the 13th Symposium on Conformal and Probabilistic Prediction with Applications, 2024

Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Thompson sampling for zero-inflated count outcomes with an application to the Drink Less mobile health study.
CoRR, 2023

2022
Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions.
CoRR, 2022

Multi-disciplinary fairness considerations in machine learning for clinical trials.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021
Adaptive learning algorithms to optimize mobile applications for behavioral health: guidelines for design decisions.
J. Am. Medical Informatics Assoc., 2021

Algorithms for Adaptive Experiments that Trade-off Statistical Analysis with Reward: Combining Uniform Random Assignment and Reward Maximization.
CoRR, 2021

Efficient Inference Without Trading-off Regret in Bandits: An Allocation Probability Test for Thompson Sampling.
CoRR, 2021

Challenges in Statistical Analysis of Data Collected by a Bandit Algorithm: An Empirical Exploration in Applications to Adaptively Randomized Experiments.
CoRR, 2021

2020
Challenges and opportunities of using reinforcement learning to optimize behavioral health interventions delivered via smartphones.
Proceedings of the AMIA 2020, 2020