I am an Instructor at the Channing Division of Network Medicine. I am a theoretical physicist and a network scientist who uses statistical and computational methods, as well as mathematical modeling, to study complex systems. During my PhD in Theoretical Physics at the University of Science and Technology of China, I worked on various topics in network science and complex systems, ranging from collective behaviors on networks to network controllability analysis.
My current research lies in the interaction of network science, system biology, deep learning, and community ecology, with a particular focus on developing network and deep learning methods to understand and predict complex disease outcomes, facilitating translation to the clinic by developing methods to speed up biomarker and therapeutic target discovery, precision nutrition for microbiome regulations and using network-based methods and population dynamics models to understand complex microbial ecosystems such as host-associated microbiomes.