research Scientific Machine Learning Combining data-driven and equations-based modeling for complex scientific problems DeepBayONet Deep Bayesian Operator Networks for forward and inverse problems DeepONet UQ Uncertainty Quantification of Deep Learning Models using Operator Networks Multirate Methods for ODEs High-order time discretizations for multi-physics systems Chronic Disease Prevention Data analytics for the National Diabetes Prevention Program