Research Projects
Summer 2023 Projects
Analyzing data from patients with pulmonary hypertension (Mette Olufsen & Naomi Chesler)
Mapping wildland fire risk using machine learning (Brian Reich & Margaret Johnson)
Mathematical modeling of liquid metal dynamics (Hangjie Ji & Karen Daniels)
Parameter estimation and analysis for agent-based models in biology (Kevin Flores)
Sensitivity analysis of optimal control problems (Alen Alexanderian & Joseph Hart)
Future Projects
Adhesion strength between nanoparticles and cancer cells with topological data analysis (Zixuan Cang & Jingjie Hu)
Analysis of remote sensing data to monitor changes in phenology (Erin Schliep & Josh Gray)
Data fusion learning methods for individualized treatment rule (Shu Yang & Wenyu Ye)
Hyperparameter estimation in atmospheric inverse modeling (Arvind Saibaba, Julianne Chung, & Scot Miller)
Numerical solutions to ODE/PDEs with applications (Zhillin Li, Juan Ruiz, & Mingchao Cai)
Scanning transmission electron microscopy modeling (Ralph Smith & Kimberly Weems)