About Me

I am a Computer Science PhD student at Vanderbilt University, working with Dr. Ipek Oguz. 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 interpolation, particularly in the medical domain. My interest in biomedical AI also extends broadly, where I have interest and experience studying intelligence grounding through Transfer Learning and Learning Representations.

For more information, check out my CV!

Current Work

My current research focus in medical imaging is on building registration and inpainting models for 3D OCT volumes.

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. Before that, I also spent some time as an NLP consultant at Sirch, where I built models that perform Query Auto-Completion (QAC), information retrieval, and NLU.

If you're interested in my research or would like to collaborate, please reach out! I'm always interested in taking on new and exciting projects.

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

News

2025

• May: My advisor, Dr. Ipek Oguz, was honored as a Chancellor Faculty Fellow! Congratulations Ipek!!

• March: Our paper, "LOTUS: Latent Outpainting Diffusion Model for Three-Dimensional Ultrasound Stitching", was accepted for both oral and poster presentation at MIDL 2025!

• January: Moved to Nashville and started my PhD at Vanderbilt!

2024

• November: Was selected out of 1200 nominees as a 2024 GE Vernova Changemaker! This honor was for co-leading a company-wide initiative to integrate GenAI into GEV Electrification Software products.

• January: Started a full-time position as a Software Engineer at GE Vernova!

2023

• November: Our paper "Spatial Analysis of Social Media's Proxies for Human Emotion and Cognition" has been accepted to the International Conference on Information 2024!

• October: Our paper "Transcending the Attention Paradigm: Representation Learning from Geospatial Social Media Data" is on arXiv!

• May: Began an internship at GE Vernova

• April: Graduated summa cum laude from California Baptist University and was awarded the "2023 CS Outstanding Student Award"

• March: Presented a poster on our research findings: "Twitter2030 – Empirical Social Media Analysis"

2022

• December: Our paper "Leveraging Contextual Data Augmentation for Generalizable Melanoma Detection" is on arXiv!

• December: My paper "Beyond Interpretable Benchmarks: Contextual Learning through Cognitive and Multimodal Perception" is on arXiv!

• May: Began an internship at General Electric

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!