DOE CSGF: I am happy to share that I have been awarded a Department of Energy Computational Science Graduate Fellowship to support my research for the next four years!
About Me
I am currently a post-baccalaureate researcher at Los Alamos National Laboratory and Michigan State University, where I work with the Theoretical Division and the SLIM Group, respectively. Previously, I graduated from MSU with degrees in Mathematics and Physics.
My current research focuses on using machine learning for solving inverse problems in imaging and physics. I am particularly interested in unsupervised learning and generative modeling for scientific and medical imaging. A list of my publications can be found on my Google Scholar.
News
2025
NSF GRFP: I have been awarded an honorable mention by the NSF Graduate Research Fellowship Program.
Preprint posted: Our review paper on using untrained networks to solve inverse problems “Understanding Untrained Deep Models for Inverse Problems: Algorithms and Theory” has been announced on arXiv.
IEEE TCI: My paper “Analysis of Deep Image Prior and Exploiting Self-Guidance for Image Reconstruction” has been accepted to IEEE Transactions on Computational Imaging!