I’m Yingzhou, a computational biology and AI researcher at Stanford focused on applying machine learning to scientific discovery. My work centers on large-scale biological data, including multi-omics integration and disease research, combined with modern AI systems.

I’ve worked on LLM training and evaluation, building data pipelines, and developing agent-based systems that can automate scientific workflows—from literature analysis to data interpretation. I’m particularly interested in making AI systems more rigorous, reproducible, and useful for real-world scientific research.