About me

Hi there! I am an assistant professor at Georgia Tech in the School of Electrical and Computer Engineering; I am also program faculty in Machine Learning. My research involves machine learning, signal processing, and optimization for solving inverse problems in computational imaging, including computer vision as well as medical and scientific imaging.

If you are interested in joining my lab, please read this before contacting me. This page also includes some advice and resources for current and prospective students in my group.

Outside of research, I like to hike (the banner photo is one I took at Crater Lake National Park), garden, cook, paint, and read fantasy and historical fiction.

Contact info

The best way to reach me is by email, at sfk at gatech dot edu. You can also find me on Google Scholar, LinkedIn, our lab GitHub, and my personal GitHub.

Research interests

I am generally interested in foundations of machine learning, particularly connections to signal processing and optimization, and applications to inverse problems that arise in computational imaging. Please have a look at my PhD dissertation and/or dissertation talk and/or job talk. Some of my current research interests are:

• Finding the “right” signal representation for solving inverse problems, balancing interpretability and expressivity with computational constraints
• Bridging theory and practice for inverse problems, e.g. nonlinear compressive sensing
• Finding the “right” priors for solving inverse problems, e.g. how to leverage data-driven priors without succumbing to distribution shift fragility
• Applications to medical and scientific imaging, including e.g. MRI, CT, and cryo-EM