Graham Pash

According to our database, Graham Pash authored at least 6 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Predictive digital twins with quantified uncertainty for patient-specific decision making in oncology.

Graham Pash, Umberto Villa, David A. Hormuth, Thomas E. Yankeelov, Karen Willcox

J. Comput. Phys., 2026

2025

Quasi-Monte Carlo methods for uncertainty quantification of tumor growth modeled by a parametric semi-linear parabolic reaction-diffusion equation.

Alexander D. Gilbert, Frances Y. Kuo, Dirk Nuyens, Graham Pash, Ian H. Sloan, Karen E. Willcox

CoRR, September, 2025

TumorTwin: A python framework for patient-specific digital twins in oncology.

Michael G. Kapteyn, Anirban Chaudhuri, Ernesto A. B. F. Lima, Graham Pash, Rafael Bravo, Karen Willcox, Thomas E. Yankeelov, David A. Hormuth II

CoRR, May, 2025

Validating the predictions of mathematical models describing tumor growth and treatment response.

Guillermo Lorenzo, David A. Hormuth II, Chengyue Wu, Graham Pash, Anirban Chaudhuri, Ernesto A. B. F. Lima, Lois C. Okereke, Reshmi Patel, Karen Willcox, Thomas E. Yankeelov

CoRR, February, 2025

a priori uncertainty quantification of reacting turbulence closure models using Bayesian neural networks.

Graham Pash, Malik Hassanaly, Shashank Yellapantula

Eng. Appl. Artif. Intell., 2025

2023

Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas.

Anirban Chaudhuri, Graham Pash, David A. Hormuth, Guillermo Lorenzo, Michael G. Kapteyn, Chengyue Wu, Ernesto A. B. F. Lima, Thomas E. Yankeelov, Karen Willcox

Frontiers Artif. Intell., February, 2023