Research Projects

Summer 2022

Computational methods for optimal adversarial learning (Ryan Murray)

Using statistical methods to grade cancer severity in histopathology images (Ana-Maria Staicu)

Using modeling and data analysis to explain heart rate variability  (Mette Olufsen)

Optimal packing of cells in tissues (Sharon Lubkin)

Transfer 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)