Instructors and Postdocs

Borjan Geshkovski

Borjan Geshkovski

Borjan is an instructor and postdoc in the Department of Mathematics. He got his PhD from the Universidad Automa de Madrid in 2021 where he was advised by Enrique Zuazua. His research interests lie at the intersection of partial differential equations, machine learning, control and inverse problems.


Graduate Students

Sarah Greer

Sarah Greer

Sarah is a graduate student in the Department of Mathematics through the Center for Computational Engineering's Computational Science and Engineering doctoral program. She received bachelors degrees in geophysics and mathematics from The University of Texas at Austin in 2018, where she worked with Dr. Sergey Fomel. Her research interests are in seismic imaging and data processing. She is supported by the DOE's Computational Science Graduate Fellowship.


Brindha Kanniah

Brindha Kanniah

Brindha is a PhD student in Geophysics. Her primary research interest is in blending machine learning methods with geophysics to solve challenges in seismic imaging. Currently, with Professor Laurent Demanet, she is working on static correction in deep-water environments. Additionally, with Professor Julien de Wit, she is looking at challenges inherent to the 3D mapping of exoplanets, and is investigating machine learning methods to solve them. In her free time, you can find her painting, dancing or creating music.