PhD researcher in Computer Science & Engineering at the University of South Florida, working on efficient and generative AI for computer vision and imaging. Before USF I completed an M.S. in Data Science at Texas A&M, where I worked on NeRF and Gaussian Splatting for plant phenotyping.
I care about strong baselines, careful evaluation and code that others can reproduce.
| Work | What it is | Links |
|---|---|---|
| BAP-MOS | Bandit-based adaptive prompting for segment-anything models on multi-organ ultrasound segmentation | Paper · Code |
| Embodied foundation models at the edge | Survey of deployment constraints and mitigation strategies for embodied AI on edge hardware (co-author) | Paper |
| Demonstration selection for ICL | Benchmark of demonstration-selection strategies for in-context learning with LLMs | Code |
Ongoing work covers generative models for image reconstruction, device-aware model compression and reinforcement learning. Full publication list on Google Scholar.
Open to research internships and collaborations. The quickest way to reach me is email or LinkedIn.