About Me

I am a Computer Science PhD student at Vanderbilt University, advised by Dr. Ipek Oguz. 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.

My research broadly spans Machine Learning, but my current focus is using deep learning for image restoration and generation, particularly in the medical domain. My interest in biomedical AI also encompasses the study of how learned representations and transfer learning can ground intelligent behavior in data-constrained environments.

For more information, check out my CV!

Current Work

I am currently investigating deep learning-based registration and inpainting methods for high-resolution 3D OCT Angiography volumes, particularly those affected by motion-induced corruption.

Previously, I was a Software Engineer at GE Vernova, where I led our wildfire forecasting initiative, including the training, productization, and visualization of ML pipelines with power grid applications. I also co-led a company-wide initiative to integrate Generative AI into GEV's Electrification Software products.

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

Teaching

• Intro to C++, Teaching Assistant, SP 2023

• Discrete Structures, Teaching Assistant, FA 2022

• Algorithms, Tutor, SP/FA 2022

• Computer Architecture, Tutor, SP/FA 2022

• Physics for Engineers II, Teaching Assistant, SP/FA 2021

Miscellaneous

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

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