Index
Featured publication, research, speaking, and open source.
Research & speaking
View all research- Learning End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect EstimationA self-supervised representation-learning method for causal treatment-effect estimation, published in the Journal of Biomedical Informatics.
- Generating High-Fidelity Privacy-Conscious Synthetic Patient Data for Causal Effect Estimation with Multiple TreatmentsResearch on generating realistic, privacy-conscious synthetic patient data with known causal effects across multiple treatments.
- Fairness in Synthetic DataA panel discussion on synthetic data’s potential to address healthcare disparities, the distinction between associational and causal fairness, and why fairness-aware methods require sustained investment.