I am a Ph.D. student in computer science, advised by Dr. Sarang Joshi with both SCI Institute and Kahlert School of Computing, University of Utah. I also work closely with Dr. Martin Bauer from FSU and Dr. Tom Fletcher from UVa. I am an applied scientist intern at Amazon, focusing on diffusion models (2023 summer) and multimodal transformer (2022 summer).
Before I joined the U, I received my B.Eng. in computer science from Tongji University and have visited Technion and Institut de Mathématiques de Toulouse as an exchange student, focusing on image analysis and Riemannian geometry, respectively.
My interest lies in applications of physics-informed machine learning and manifold learning in medical imaging. We try to develop specialized mathematical and computational tools for the precise study of anatomical variability so as to improve medical treatment, diagnosis and understanding of the disease. I made a handful of notes for better understanding in machine learning, mathematics of imaging, metric estimation, image registration, and solving large systems of linear equations.
I'm an amateur photographer, vlogger and also a loyal reader of the New York Times, you can find the highlight front pages I collect by the years of 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, and 2022.
Publications
Integrated Construction of Multimodal Atlases with Structural Connectomes in the Space of Riemannian Metrics.
- Kris Campbell, 🐉Haocheng Dai, Zhe Su, Martin Bauer, Tom Fletcher, Sarang Joshi.
- Machine Learning for Biomedical Imaging (MELBA), 2022 Paper / Code / Citation
Footprints
