Kerrek Stinson

My research interests are broadly within analysis and PDEs, with applications to

• fracture mechanics,

• geometric PDEs,

• statistical learning.

Many models from materials science, such as phase separation in lithium-ion batteries or fracture in elastic materials, describe physical states through energy minimization. Similarly, optimization is at the center of statistical learning. My research leverages variational methods to extract analytical and geometric information from the energies underlying these models. Often, this provides a more direct and insightful (geometric) interpretation of the physical system.

Short CV

• C.R. Wiley Instructor '24-'27 at the Unviersity of Utah

• Postdoc '21-'24 at the University of Bonn hosted by Tim Laux and Sergio Conti

• PhD '21 at Carnegie Mellon University advised by Irene Fonseca and Giovanni Leoni