I'm a PhD Candidate working at the intersection of Deep learning, Machine Learning, AI Agents, and AI-assisted Medicine.
- Developer of VAT (Versatile Alignment Toolkit) — a unified framework for DNA/RNA/protein alignment
- Exploring microbiome–cancer interactions and immunotherapy response prediction
- Building LLM-based biomedical multiple agents systems and Drug repurposing tools
- Building AI-powered quantitative trading platform for US stocks with intelligent decision-making agents
- Passionate about optimization, open-source software, and scientific reproducibility
| Project | Description | Tech |
|---|---|---|
| VAT | Fast and flexible short/long read aligner for DNA and Protein | C++, SIMD, DP |
| Microbiomformer | Microbiota foundation model | PyTorch, HuggingFace |
| scVAT | Single-Cell RNA-seq Analysis Pipeline | Python, nextflow |
| unsloth | Fine-tuned LLaMA & Mistral models with 2–5× speedup | PyTorch, HuggingFace |
| LLM-based Quantitative Trading | AI-powered quantitative trading platform for US stocks with intelligent decision-making agents | Python, Alpaca API, LLMs |
| CitationAgentsSystem | A multi-stage high-accuracy sentence matching system for biomedical literature | Python, LLMs, HuggingFace |
Python • C++ • PyTorch • RAG • LoRA •LangChain • AI Agents • System Architecture • HPC • Docker • Git
💬 Open to collaborations in AI × Clinical Applications
🐾 Fun fact: My coding speed rivals my husky’s running speed.