Welcome!
We’re the VOILA Lab at Georgia Tech. Our lab’s research applies techniques from machine learning, signal processing, and optimization to solve inverse problems in computational imaging, including tasks in computer vision, medical imaging, and scientific imaging.
Please see our research areas page for our lab’s recent research, and our papers page for an exhaustive listing of our lab’s work.
Research areas:
Thinking about joining the group?
In general, I plan to hire 1-2 PhD students per year, but that may fluctuate year to year.
Please read the Prospective page for detailed instructions before contacting me.
What strong applicants usually have: a solid foundation in linear algebra, optimization, signal processing, probability & statistics, and algorithms & data structures. Most projects use Python (including GPU and autodiff libraries like PyTorch, JAX, and CuPy), but familiarity with lower-level languages like CUDA or C++ is a bonus
News
June 9th, 2026
New website is up!
June 3rd, 2026
Our group will be presenting two papers this week at CVPR: KLIP (main track) and 3D Field of Junctions (workshop). Sara will also be giving talks in the Computational Cameras and Displays and 4D World Models workshops.
May 28th, 2026
New preprint on predicting the reconstruction error of compressive signal parameterizations without access to ground truth is available on arXiv.
May 28th, 2026
New preprint on understanding when, why, and how diffusion posterior samplers fail is available on arXiv.