CS and Mathematics @ Duke
Quantum Computing Researcher • Full-Stack Developer • AI/ML Enthusiast
— Albert Camus
Always Continue, Never Break;
My research journey spans quantum computing, machine learning, and computer vision. Each project represents a unique challenge I've tackled, from developing novel error correction methods to creating AI systems that solve real-world problems.
Extending concatenated Steane codes beyond single-flag limitations for distances 3-9. Investigating resource optimization for scalable quantum computing implementations using Stim framework.
Developing diffusion-based image editing model trained on 10,000+ real human edits from Chinese and Japanese social media. Addressing privacy-preserving data collection and cultural diversity in aesthetic preferences.
Created deep learning model for automated skin burn wound detection achieving 92% accuracy. Constructed and labeled 1,000+ burn wound images in collaboration with local hospital.
Conducted quantum computing research on XXZ Heisenberg model for quantum algorithm development. Self-learned quantum mechanics and linear algebra within one week.
A curated selection of projects that showcase my approach to design and development.
Click on projects for detailed information.
Always continue, never break;
I'm always excited to discuss new ideas, whether it's about quantum computing, AI projects, or potential collaborations. Feel free to reach out — I'd love to hear from you!