I am a Ph.D candidate in Biostatistics at University of North Carolina at Chapel Hill (UNC-CH), advised by Dr. Yun Li and Dr. Didong Li. My research focuses on statistical genetics/genomics and machine learning, particularly on spatial omics and Gaussian Process. Prior to that, I did my MS in Statistics at University of Wisconsin-Madison, and completed my BS in Statistics at East China Normal University.

Keywords
  1. Spatial statistics
  2. Gaussian process
  3. Dimension reduction
  4. Statistical genetics/genomics
  5. AI4Science

Lastest News:
  • May 2024: Our dataset STimage-1K4M is publicly available now! Apply for it here.
  • Mar 2024: Jiawen won the MCBIOS Young Scientist Excellence Award.
  • Sep 2023: Our paper "On the identifiability and interpretability of Gaussian process parameters" accepted by NeurIPS2023.
  • Mar 2023: Our spatial transcriptomics deconvolution method POLARIS published by Science Advances.
  • Jun 2022: Our spatial transcriptomics deconvolution review paper published by Briefings in Bioinformatics.
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