I’m a fourth-year Ph.D student at UC Berkeley advised by Prof. Philip Marcus, with affiliations with the Data Analytics group at NERSC, Lawrence Berkeley National Lab. My research interest is in Machine Learning and Deep Learning techniques, applied to 3D geometry. In particular, I am interested in leveraging advances in 3D learning for applications in a variety of physical and engineering systems, examples include omnidirectional image segmentation, climate pattern detection and aerodynamical shape optimization.
Prior to joining UC Berkeley, I got my Bachelor’s degree from Cornell University, as well as a joint degree from Zhejiang University.
Please find more information in my personal research page.