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
- Spatial statistics
- Gaussian process
- Dimension reduction
- Statistical genetics/genomics
- AI4Science
Presentations:
- NeurIPS 2024 (Poster), ASHG 2024 (Poster). "STimage-1K4M: A histopathology image-gene expression dataset for spatial transcriptomics."
- JSM 2024 (Oral), ENAR 2024 (Oral), MCBIOS 2024 (Oral),WiML 2023 (Poster), ASHG 2023 (Poster). "Investigating spatial dynamics in spatial omics data with StarTrail."
- NeurIPS 2023 (Poster). "On the Identifiability and Interpretability of Gaussian Process Models."
- ENAR 2023 (Oral), ASHG 2022 (Poster). "Cell composition inference and identification of layer-specific spatial transcriptional profiles with POLARIS."
- ASHG 2020 (Poster). "Gamete simulation improves polygenic transmission disequilibrium analysis."
Honors and Awards:
- MCBIOS Young Scientist Excellence Award. 2024
- Women in Machine Learning travel funding. 2023
- Joan M. Truby Scholarship, University of North Carolina at Chapel Hill. 2022
- Honorable Mention, Mathematical Contest in Modeling. 2018
- First-Class Scholarship, East China Normal University. 2016
- Excellent Student Leader, East China Normal University. 2015, 2016
Education:
- 2020-current, Ph.D. student, Biostatistics, University of North Carolina at Chapel Hill
- M.S., Statistics, Univeristy of Wisconsin-Madison.
- B.S., Statistics, East China Normal University