I am an Assistant Professor in the Electrical and Computer Engineering (ECE) department at Rice University. I focus on developing scalable and reliable computer vision methods, and apply much of my work to scientific domains such as medical and geospatial imaging. I am also part of the Rice Digital Health Initiative and Houston Methodist-Rice Digital Health Institute.
[2020 - 2021] : Applied Scientist @ AWS
[2018 - 2020] : Postdoc @ MIT CSAIL with Bill Freeman
[2011 - 2018] : MS & PhD @ MIT CSAIL with John Guttag and Frédo Durand
[2007 - 2011] : B.S. in Computer Science, B.S. in Computer Engineering @ University of Michigan
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.