Publications: Multiple papers published in top-tier international conferences like CVPR, ICCV, SIGGRAPH Asia; Awards: Pearl Brownstein Doctoral Research Award from NYU CSE; Scholar Award from NeurIPS 2022.
Research Experience
Research Scientist at Adobe; Interned at Adobe, Google Research, and Siemens Healthineers; Involved in multiple research projects such as Harmonize, DiffusionGS, etc.
Education
Ph.D. in Computer Science from New York University (NYU), 2023; Advisor: Prof. Guido Gerig.
Background
Research interests: at the intersection of computer vision and deep learning, focusing on developing robust and controllable generative models for diverse applications in image editing, restoration, and composition.