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 in Spring 2023.
My research broadly spans Machine Learning, but my current focus is on building OCT mosaicking and denoising models to track ROP progression in infants. My interest in biomedical AI also extends into cognition, where I have interest in intelligence grounding via perception through Natural Language Processing and Transmodal Learning.
My goal is to build neurosymbolic models that can bridge the gap between vision and language, tacitly capture the intricacies of human perception, and pave the way for more generalizable and human-centered agents.
For more information, check out my CV!
Current Work
My current research focus in medical imaging focuses on building OCT mosaicking and denoising models to track ROP progression in infants.
Previously, I was a Software Engineer at GE Vernova, where I led our wildfire forecasting initiative, including the training, visualization, and productization of ML pipelines with power grid applications. I also co-led a company-wide initiative to integrate GenAI into GEV's Electrification Software products. I also spent time as an NLP consultant at Sirch, where I built models that perform Query Auto-Completion (QAC), information retrieval, and NLU.
My previous NLP research investigated representation learning to find abstract patterns in noisy social media data, challenging the necessity of complex architectures for NLU. My computer vision research proposes a novel approach to data preprocessing that introduces noise and makes medical imaging models more generalizable and accessible. My cognitive science research establishes abstract contextual features necessary for cognitive perception.
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
January: Moved to Nashville and started my PhD at Vanderbilt!
2024
November: Was honored as a 2024 GE Vernova Changemaker for co-leading a company-wide initiative to integrate GenAI into GEV Electrification Software products.
April: Our paper "Spatial Analysis of Social Media's Proxies for Human Emotion and Cognition" was presented at iConference 2024!
December: 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 iConference 2024!
October: Our paper "Transcending the Attention Paradigm: Representation Learning from Geospatial Social Media Data" is on arXiv and being submitted for peer review!
September: Began NLP consulting for Sirch
May: Began an internship at General Electric
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 and being submitted for peer review!
December: My paper "Beyond Interpretable Benchmarks: Contextual Learning through Cognitive and Multimodal Perception" is on arXiv!
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!