Research

Papers and Presentations

Policy Trees for Prediction: Interpretable and Adaptive Model Selection for Machine Learning, Submitted to JMLR, 2024

Deep Trees for (Un)structured Data: Tractability, Performance, and Interpretability, Submitted to Machine Learning, 2024

Interpretable NLP For Identifying Risk Factors Of Intimate Partner Violence In Clinical Notes, Presented at INFORMS Annual Meeting, 2023

Extending the Neural Additive Model for Survival Analysis with EHR Data, Short Paper presented at ML4H, 2022