I am an Assistant Professor in the Electrical and Computer Engineering (ECE) department at Rice University and a member the Rice Digital Health Initiative and Houston Methodist-Rice Digital Health Institute. My group develops efficient and reliable signal representation and generation algorithms, particularly for real-world applications such as medical imaging, environment monitoring, and 3D scene reconstruction. I completed my PhD at MIT CSAIL advised by John Guttag and Frédo Durand, and my postdoctoral research under Bill Freeman. I completed my B.S. degrees in Computer Science and Computer Engineering at the University of Michigan, Ann Arbor.
MetaSeg just won the Best Paper Award at MICCAI! We offer a completely new way to perform medical image segmentation using INRs with 90% fewer parameters than standard models.
Our method WassDiff -- a state-of-the-art generative model for precipitation downscaling -- was just accepted at IEEE Transactions on Geoscience and Remote Sensing.
Presented our paper Not all Views are Created Equal: Analyzing Viewpoint Instabilities in Vision Foundation Models at ICCV 2025. An interesting analysis on how vision foundation models yield unstable inferences given certain object viewpoints.