Computer Science & Engineering + Mathematics @ University of Connecticut
AI Concentration | Machine Learning | Computer Vision | Applied Research
Connecticut, USA
I’m a Computer Science and Mathematics student at the University of Connecticut focusing on Artificial Intelligence, Computer Vision, and Machine Learning systems, and working at Dr. Yuan Hong's lab, DataSec as an Undergraduate Researcher.
My work spans research, infrastructure AI, and applied ML systems, with experience building:
- Vision Transformer (ViT) models
- Pose-based Person Re-Identification systems
- AI-driven transportation analysis models
- Quantum computing applications for financial risk
- Edge AI systems on Raspberry Pi
I enjoy building real-world AI systems that combine research and deployment.
UConn – Dr. Yuan Hong Research Lab
- Developing pose-based ReID models
- Using Vision Transformers (ViTs) for embedding learning
- Implementing Brownian motion augmentation
- Improving robustness under occlusions and pose mismatch
- Analyzing transportation system performance
- Building data-driven models and simulations
- Evaluating infrastructure usage and traffic patterns
- Supporting transportation planning decisions
- Simulating Brownian motion and stochastic systems
- Building Python simulations for stochastic differential equations
- Numerical verification of theoretical models
- Benchmarked Monte Carlo vs Quantum Amplitude Estimation
- Evaluated VaR and CVaR risk metrics
- Proposed Soft-CVaR formulation
- Reduced quantum circuit depth by ~5×
- Designed quantum-secure hash function
- Used quantum walks and parametric circuits
- Validated collision resistance and entropy