Yuqi Tan

I am a computational biologist specializing in spatial multi-omics, integrating expertise in machine learning with a deep understanding of molecular and cellular biology. My work focuses on developing scalable machine learning models and streamlined computational frameworks to tackle complex biological questions, such as improving stem cell engineering, identifying novel cell types, finding spatial biomarkers for cancer immunotherapy response, and discovering spatial mechanisms in neurological disease. I have led and will continue to lead a research team to develop streamlined, scalable machine learning models and apply them to explore the spatial organization of cell types in healthy aging and diseases, leveraging spatial multi-omics and 3D pathology. Through directly mentoring nine students, designing/teaching three custom courses, and contributing to three global health projects, I remain committed empowers future researchers.