Faculty within the Materials Branch
Hoda Amani Hamedani

Eric Baer

Bud Baeslack III
Erika Barcelos
Develops geospatial predictive models and geospatial data science tools to study climate and environmental related phenomena and their impacts in nature. Develop data management and data integration frameworks for data and metadata to enable FAIRification.

Laura Bruckman
Jennifer Carter
Chung-Fu Cheng


Mark De Guire

Frank Ernst

Frank Ernst

Roger French

Michael Hore

Hatsuo Ishida


Peter Lagerlof

John Lewandowski

Joao Maia

Ica Manas-Zloczower

David Matthiesen

Jim McGuffin-Cawley


Pirouz Pirouz
Valentin Rodionov

David Schiraldi

Alp Sehirlioglu
Abhinendra Singh
Pawan Tripathi
Develop data analysis techniques, tools, and pipelines for high dimensional datasets in materials science such as synchrotron XRD, XCT, and advanced manufacturing to reveal insights, and correlations and improve predictive modeling leveraging deep learning, artificial intelligence, and statistical methods.
Materials Data Science, Advanced Manufacturing, Synchrotron Data Analysis, Image Processing, Deep Learning, Artificial Intelligence, Uncertainty Quantification, Atomistic Simulation

Gerhard Welsch

Matthew Willard
Gary Wnek

