At 19, I'm wrapping up an accelerated 3-year BS in Computer Science at the University at Buffalo and heading into a CS PhD at Michigan State University, advised by Dr. Pang-Ning Tan. My research sits at the intersection of computer vision, deep learning, and real-world deployment — from clinical mHealth apps to graph neural networks for materials science.
I've contributed to 2 co-authored publications, presented to clinical groups of doctors and nurses, and won a competitive $2,500 PEARL Research Award. I don't just train models — I ship them into environments where they run on real patients and real data.
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OralScan — ESC Lab, UB
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Symmetry-Aware GNNs — Peng Lab, UB
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| Year | Title | Venue | Links |
|---|---|---|---|
| 2025 | OralScan: An AI-Powered Mobile Tool for Geriatric Oral Healthcare — A Formative Usability and Acceptability Study | Smart Health (Submitted) | oralscan.health |
| 2025 | Accelerating Multimetallic Catalyst Discovery with Robotics and Agentic AI | ChemRxiv | DOI |
| 2024 | Learning Ordering in Crystalline Materials with Symmetry-Aware Graph Neural Networks | arXiv Preprint | 2409.13851 |
AI / ML
Languages
Web & Mobile
Databases & Cloud
| 🎓 PhD, Computer Science | Michigan State University · Fall 2026 · Advisor: Dr. Pang-Ning Tan |
| 🎓 BS, Computer Science (Minor: Statistics) | University at Buffalo · 2023–2026 · GPA 3.8+ · Dean's List every semester |
| 🏆 PEARL Research Award | $2,500 competitive grant, UB ELN — awarded once per undergraduate career (2025) |
| 🏅 Cybersecurity Excellence | Top 100 globally · 10th in the world, Northeastern C2C Finals (2025) |
| 🏅 Collegiate Lockdown | Top 2 teams representing UB · 4th in Finals (2025) |
| 💰 Presidential Scholarship | $15,000/yr, University at Buffalo |
- Oral Presentation & Demo — CTSI Research Group of Doctors, Nurses, and Medical Students (April 2024)
- Oral Presentation — SUNY Undergraduate Research Conference (SURC) (April 2024)
I'm open to research collaborations, ML/AI internship opportunities, and conversations about computer vision, healthcare AI, or materials informatics. If you're working on something interesting at the intersection of AI and real-world deployment, reach out.


