About me

Welcome! I am a PhD candidate with interdisciplinary expertise in computational science, statistical learning, genomics, and neuroscience. My research is centered on developing machine learning frameworks tailored to multiscale and multimodal biomedical data. I focuses on designing generative frameworks for multimodal alignment, compositional data synthesis, large-scale graph co-representation, LLM adapters, and interpretable methodologies for AI-driven scientific research (AI4Science).

I am excited to leverage my cross-disciplinary background in neuroscience, genetics&genomics, and computational science to drive cutting-edge advances in this rapidly evolving field. Please feel free to contact me to learn more!