I am a computational scientist focused on developing AI foundation models that decode the complexities of human health. My research builds robust frameworks to understand biological change over time, ranging from neurodevelopmental and neurodegenerative disorders to oncological characterization and tumor modeling.

My research sits at the intersection of large-scale machine learning and multi-institutional computational science. Building on my academic background from UVA and Harvard, I continue to collaborate on independent research initiatives with colleagues at MIT, Yale, and the University of Florida. By bridging foundational AI with clinical applications, these academic partnerships focus on advancing the theoretical limits of geometric deep learning and its potential in computational science.

Currently, I serve as a Research Advisor leading initiatives in healthcare AI. I previously completed a postdoctoral fellowship at Harvard Medical School and Boston Children’s Hospital with Ali Gholipour, and earned my Ph.D. in Computer Science from the University of Virginia under the mentorship of Miaomiao Zhang. I hold a B.S. in Software Engineering from Shanxi University. My goal is to advance the frontiers of precision medicine by building models that scale across diverse diseases and populations.