Hu focuses on designing machine learning models to facilitate decision-making across various domains while understanding the social impacts of AI and fostering responsible human-AI interactions.

Cramer's research focuses on understanding how processes drive the distribution and persistence of marine organisms, particularly across multiple scales of time and space.

Yixuan He's doctoral research centered on graph neural networks, with a focus on signed networks, directed networks, temporal networks, applications to network analysis, and interdisciplinary research.

Sheikh's research focuses on developing statistical methodologies for survival and longitudinal data analysis within the Bayesian framework, which are motivated by challenging applications in complex diseases.