This page contains select research papers on artificial intelligence and machine learning for healthcare applications, with a focus on graph neural networks and time series signal processing for complex dynamical systems.

Relational Conformal Prediction for Correlated Time Series
We introduce CoRel, a novel distribution-free conformal prediction method that leverages graph neural networks to quantify uncertainty in correlated time series forecasting by exploiting relational dependencies across sequences.