About Me

I am a first-year Ph.D. student in Quantitative Biomedical Science at Dartmouth College. My research focuses on developing statistical and machine (deep) learning methods to solve problems in computational genomics and systems biology, with particular interest in developmental study, transcriptional regulation, spatial transcriptomics, and multi-omics analysis at the single-cell level.

Previously, I received my M.S. in Biostatistics (Modeling and Methods pathway) from the University of Washington and my B.S. in Data Science (Concentration: Genomics; Minor: Mathematics) from New York University Shanghai.

Research Interests

• Single-cell RNA sequencing (scRNA-seq) analysis
• Contrastive and self-supervised learning for genomics
• Spatial transcriptomics and multi-omics integration
• Statistical modeling and small area estimation
• Computational methods for transcriptional regulation and cell fate

News

• [May 2026] Our paper LCL: Contrastive learning for lineage barcoded scRNA-seq data has been accepted to ICML 2026 (PMLR).
• [Sep 2024] Presented a poster at the Machine Learning in Computational Biology (MLCB) Conference in Seattle, WA.
• [Aug 2025] Started Ph.D. in Quantitative Biomedical Science at Dartmouth College.