Research Projects

Summer 2022

Isolating causes of improved generalization in deep learning (Ryan Murray)

A functional data analysis of disease outbreak data (Ana-Maria Staicu)

Analyzing data from patients with pulmonary hypertension (Mette Olufsen)

Optimal packing of cells in tissues (Sharon Lubkin)

Data fusion learning methods for individualized treatment rules (Shu Yang)


Future Projects

Approximate inference for inverse models (Brian Reich and Arvind Saibaba)

Scanning transmission electron microscopy modeling (Ralph Smith and Kimberly Weems)

Numerical solutions to ODE/PDEs with applications (Zhillin Li)

Physics-guided image segmentation and classification for tear film break-ups (Hangjie Ji)

Sensitivity analysis of optimal control problems (Alen Alexanderian)