With thanks to Yating Zou for the styling.
Qian Lab · Center for Interdisciplinary Studies
School of Science, Westlake University
I am a postdoctoral researcher in Qian Lab, led by Professor Hong Qian (钱紘), at the Center for Interdisciplinary Studies, School of Science, Westlake University. I received my Ph.D. in Biostatistics from UCLA, advised by Weng Kee Wong and Gang Li.
My WeChat public account: 让统计再次伟大.
ONE TRAJECTORY, THREE THREADS
What I Study
I study how statistical inference and stochastic models can help us understand living systems — and how better experiments can make that understanding possible.
01 RESEARCH THEME
Stochastic Dynamics & Quantitative Biology
What can fluctuations reveal about living systems?
Connecting molecular observations to stochastic models, with a current focus on fluorescence correlation spectroscopy and photon-counting data.
FCS · Stochastic processes · Semi-Markov models
Explore this thread02 RESEARCH THEME
Statistical Methodology
How can we learn more from the measurements we can afford?
Designing informative experiments and developing statistical methods for survival, multistate and biomedical data.
Optimal design · Survival · Multistate models
Explore this thread03 RESEARCH THEME
Computational Biology & AI
How can computational models make biological variation interpretable?
Modeling single-cell trends and biomedical measurements, alongside work on representation learning and scientific optimization.
scGTM · Single-cell data · Machine learning
Explore this threadSelected Publications
View all publications-
Article first page BioinformaticsSingle-cell generalized trend model (scGTM): a flexible and interpretable model of gene expression trend along cell pseudotime
Bioinformatics, 38(16), 3927–3934 · 2022
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arXiv manuscript cover · CC BY 4.0 Working manuscriptThe Statistical Compass
Textbook / monograph working manuscript · arXiv:2606.11282 · 2026
Working manuscript, not a publisher-issued book.
ArxivOverview
A textbook-length exploration of probability, stochastic processes and statistical inference, available as an arXiv working manuscript.
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Article first page · CC BY FrontiersInvestigating the value of glucodensity analysis of continuous glucose monitoring data in type 1 diabetes: an exploratory analysis
Frontiers in Clinical Diabetes and Healthcare, 4, 1244613 · 2023
PaperOverview
A distributional perspective on continuous glucose-monitoring data in type 1 diabetes.
Writing
鞅的辉煌与苦难
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让统计再次伟大
Statistics, models, and another way of seeing the world.
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