Research through collaboration.

Andrew Kitterman

Machine learning, surrogate modeling, and uncertainty quantification.

Hanbyul Lee

Michael Schmidt

Markov chain Monte Carlo methods and global sensitivity analysis.

Isabel Corona Guevara

Sparse Bayesian learning and uncertainty quantification.

Evan Shapiro

Co-advised with Erin Austin. COPD project and surrogate modeling.

Neissrien Alhubieshi

Thesis: Global Sensitivity Analysis with Surrogate Modeling.

Weston White

Johannes Strauss

Anne Gumina

Importance sampling, surrogate modeling, and reliability engineering.

Hanbyul Lee

Machine learning interpretability.

Nhat Pham

Reinforcement learning, Q-learning, and Dyna.

Siu Yin Lee

Burned area mapping in Alaska using improvements to a USGS machine learning algorithm.

Nick Koprowicz

Co-advised with Erin Austin. Building computer vision models efficiently through transfer learning with ImageNet pretrained models.

Siyuan Lin

Application of machine learning models to microeconomic analysis.

Lu Vy

Variance reduction methods based on multilevel Monte Carlo for option pricing.

Dingxuan Zhang

Variance reduction methods based on multilevel Monte Carlo for option pricing.

Malik Odeh

Neuronal bursting in slow-fast systems.