Principal Investigator: Professor Sascha Ranftl
Location: School of Mechanical Engineering, Purdue University
Our research spans the full spectrum of scientific machine learning, bridging the gap between theoretical mathematics and applied engineering.
- We develop the mathematical foundations for robust surrogate models, advanced approximations, and Bayesian frameworks capable of handling uncertainty and outliers.
- We quantify uncertainties in haemodynamic simulations to support its credibility which in turn can supplement clinical decision-making.
Internal Lab Members: Please refer to the lab-handbook repository for onboarding instructions, HPC setup, and .gitignore data policies.