ABOUT MYSELF

I am currently a rising senior at UNC Chapel Hill double majoring in Biostatistics, B.S.P.H. and Mathematics, B.S. with a minor in Chemistry.

I have been working at UNC BRAIN Lab in the Biomedical Research Imaging Center (BRIC) as a Undergraduate Research Assistant since September 2021. Currently, I am also working as an intern at the Athinoula A. Martinos Center for Biomedical Imaging. During regular semesters, I work as a Lab Assistant for BIOL 252L: Fundamentals of Human Anatomy and Physiology Lab. I have been volunteering at the Emergency Department at UNC Hospitals since January 2023.

In my free time, I enjoy snowboarding, badminton, cooking Chinese food, and photography.

I am looking for a Ph.D. position starting in Fall 2025.

You may find my CV here: Kaibo’s Curriculum Vitae.

NEWS

6/27/2024 - A paper I helped revise was published in BMC Medicine! Du, Y., Li, C., Zhao, W. et al. Multimodal neuroimaging exploration of the mechanisms of sleep quality deterioration after SARS-CoV-2 Omicron infection. BMC Med 22, 271 (2024). https://doi.org/10.1186/s12916-024-03487-9

5/21/2024 - MONAI 1.3.1 was released! I contributed three PRs for the release, which added two new modules for image registration task, i.e., VoxelMorph and DiffusionLoss. To try out the latest version of MONAI, please run pip install monai or conda install conda-forge::monai.

4/11/2024 - My paper accepted to IEEE ISBI 2024 was selected as an oral presentation.

2/2/2024 - My first paper as the first author was accepted to IEEE ISBI 2024.

10/31/2023 - I was inducted into Phi Beta Kappa at UNC Chapel Hill.

3/8/2023 - I was admitted to the Biostatistics (B.S.P.H.) major in Gillings School of Global Public Health.

4/4/2022 - My project, Registering Infant Brain MR Image with Auxiliary Data, was selected for funding by the Summer Undergraduate Research Fellowship (SURF).

EDUCATION

RESEARCH INTERESTS

  • Magnetic Resonance Imaging (MRI)
    • Diffusion MRI (dMRI) accelerated acquisition and reconstruction
  • Medical Image Analysis
    • Volume- and surface-based registration
    • Atlas construction for the early developing brain
  • Explainable Deep Learning

PUBLICATIONS

Conference Publications:

  1. Kaibo Tang, Liangjun Chen, Zhengwang Wu, Fenqiang Zhao, Ya Wang, Weili Lin, Li Wang, Gang Li. Generation of anatomy-realistic 4D infant brain atlases with tissue maps using generative adversarial networks. Accepted to ISBI 2024 (Oral).

AWARDS & HONORS

  1. Accelerated Research Program at UNC Chapel Hill.
  2. Honors Carolina at UNC Chapel Hill.
  3. Summer Undergraduate Research Fellowship (SURF).
  4. Phi Beta Kappa.

TEACHING

  1. Learning Assistant for BIOL 252L Fundamentals of Anatomy and Physiology Lab.