About Me

I am a Computer Science PhD student at Vanderbilt University, advised by Dr. Ipek Oguz in the Medical Image Computing Lab (MedICL). My research is also affiliated with the Vanderbilt Institute for Surgery and Engineering (VISE). I previously graduated summa cum laude with a B.S. in Computer Science from California Baptist University.

Before beginning my PhD, I was a Software Engineer at GE Vernova, where I led end-to-end machine learning initiative for wildfire risk forecasting and co-led a company-wide generative AI adoption effort across Electrification Software.

For more information, check out my CV.

Current Research

My research is in computer vision and machine learning, with a current focus on image restoration and reconstruction in the medical domain. More broadly, I’m interested in generative modeling and representation learning for 3D visual data, particularly under incomplete or limited supervision.

My current work develops learning-based methods for restoring 3D OCT/OCTA volumes affected by motion corruption.

If you’re interested in my research or would like to collaborate, please reach out!

Miscellaneous

In my free time, I play/watch basketball and watch Harry Potter with my wife, son, and cats.

I’m also passionate about playing chess and studying theory. Add me on lichess and challenge me to a game!