Resume
Academic Achievements
- Published multiple papers in top-tier international conferences such as ICCV, AAAI, MICCAI; served as a senior program committee member for several conferences; holds multiple US patents; authored a book on deep network design for medical image computing.
Research Experience
- Before joining Amazon, worked on various medical image analysis projects, including metal artifact reduction, sparse-view artifact reduction, 2D/3D image registration, cardiac ultrasound image segmentation, vertebrae identification and localization, and skin disease characterization.
Education
- Received Ph.D. in Computer Science from the University of Rochester in 2019, advised by Prof. Jiebo Luo. Ph.D. research focused on deep medical image computing.
Background
- Currently a Senior Applied Scientist at Amazon AWS AI Labs. Research interests include document understanding, LLM knowledge distillation, and LMM pre-training. Takes one summer intern every year.
Miscellany
- Personal interests not mentioned