Research Projects

Summer 2025: TBD (Tentative Projects)

Deciphering cell cycle from single-cell gene expression data using TDA and optimal transport (Zixuan Cang and Nicholas Buchler)

Mathematical modeling of interfacial fluids (Hangjie Ji and Karen Daniels)

Randomized algorithms for Bayesian Inverse Problems based on random Fourier features ( Arvind K. Saibaba and Julianne Chung)

Health effects of urban heat islands with changing climate with personal monitoring devices (Kyle Messier and Brian Reich)

Sensitivity analysis of biologically informed neural networks for collective migration (Kevin Flores and Jason Haugh)

Social impacts of cardiovascular disease risk assessed using the NIH-All-of-us-Data (Mette Olufsen and Brian Carlson)

Quantifying flood risk using machine learning and data integration (Emily Hector and Sankar Arumugam)

Inference of global atmospheric states from sparse observations ( Mohammad Farazmand and Arvind K. Saibaba)

Species distribution modeling of North American mammals using data integration (Brian Reich, Krishna Pacifici and Roland Kays)

Summer 2024

Causal analysis of cell-cell communication with single-cell and spatial omics data (Zixuan Cang and Shu Yang)

Using modeling and data analysis to study congenital vascular disease (Mette Olufsen and Colleen Witzenberg)

VIEWS prediction challenge (Jonathan Williams and Gudmund Hermansen)

Species distribution modeling of North American mammals using data integration (Brian Reich, L Krishna Pacifici, and Roland Kays)

Modeling the dynamics of platelet-like particles under ultrasound stimulation for
wound healing applications (Mansoor Haider, Ashley Brown, and Marie Muller)

Multi-armed bandit problems for assignment of patients in clinical trials (Andrew Papanicolaou)

Future Projects

PK/PD translational modeling for dose selection in clinical trial design (Angelean Hendrix and Mette Olufsen)