About
I am a Lane Fellow in Carnegie Mellon University’s Ray and Stephanie Lane Computational Biology Department, working with Jian Ma.
I received my Ph.D. in Computer Science from Rice University, advised by Ken Chen and Luay Nakhleh, and conducted my doctoral research at MD Anderson Cancer Center. Before joining CMU, I worked as a bioinformatics research scientist at NuProbe. I earned my B.Eng. from Tsinghua University.
My research experience encompasses machine learning and computational biology. Right now, I focus on generative and interpretable models for single-cell and spatial omics. I aim to connect accurate prediction with biological insight by identifying molecular programs and cell–cell interactions that explain changes in cellular state. My work addresses questions in cancer, immunity, and development, with the goal of generating testable hypotheses that guide experiments.
Selected publications
* Co-first author; † co-corresponding author.
STEAMBOAT: Attention-based multiscale delineation of cellular interactions in tissues
RECOMB 2025; extended manuscript accepted in principle by Nature Methods.
Paper
TissueNarrator: Generative Modeling of Spatial Transcriptomics with Large Language Models
bioRxiv preprint, 2025; under review at Nature Biomedical Engineering.
Paper
Single-cell manifold-preserving feature selection for detecting rare cell populations
Nature Computational Science 1(5), 374–384, 2021.
Paper
Latent periodic process inference from single-cell RNA-seq data
Nature Communications 11(1), 1441, 2020.
Paper
Bi-order multimodal integration of single-cell data
Genome Biology 23, 112, 2022.
Paper
In-depth analysis of SARS-CoV-2–specific T cells reveals diverse differentiation hierarchies in vaccinated individuals
JCI Insight 7(7), e156559, 2022.
Paper
Single-cell CRISPR immune screens reveal immunological roles of tumor intrinsic factors
NAR Cancer 4(4), zcac038, 2022.
Paper
Teaching experience
Guest lecture: Local sequence alignment and the Burrows–Wheeler transform
Carnegie Mellon University, 2026.
Guest lecture: Introduction to spatial omics
Carnegie Mellon University, 2025.
Workshop instruction: Multiomics integration and feature selection
Gulf Coast Consortia Single-Cell Omics Workshop, 2026.
Teaching assistant: Statistical Machine Learning
Rice University, 2018–2020.
Teaching assistant: Statistical Models and Algorithms for Data Science
Rice University, 2018–2019.
