Jean Gallier

Jean Gallier

Professor, CIS

Jean is interested in the application of geometric methods to problems in engineering. In particular, he is investigating methods for smooth surface reconstruction from 3D meshes. He is also interested in methods for statistical analysis in medical imaging, and focuses on diffusion tensor imaging. In his work to resolve the difficulties of the non-Euclidean domain of these images, Jean applies Riemannian geometry as a framework for problem solving.


Hang Chen

Robotics MSE

Grace Choe

Robotics MSE - Accelerated Master's

Kritin Mathur

Robotics MSE

Zhuolun Zhao

Robotics MSE


Martin Ricardo Del Rio Grageda

Robotics MSE - Accelerated Master's '23 - Electrical Engineer at Microsoft

Liam Gallagher

Robotics MSE '18 - Software Engineer, Aurora

Jean Gallier