Single-cell & Spatial Omics
Resolving cellular states, tissue organization, and disease biology from high-dimensional molecular data.
Hello, I’m
Weipeng Mo.
Computational biologist & bioinformatics researcher
I build computational approaches to understand gene regulation across molecules, cells, and tissues.
- Current appointment
- The First Affiliated Hospital, Sun Yat-sen University
- Research base
- Guangzhou, China
About / 01
Researching biology through data, methods, and open tools.
Across molecules, cells, and tissues.
My research sits at the intersection of genomics, computation, and tool-building. I work with long-read, single-cell, and spatial omics to reveal how gene regulation changes across biological systems—and I turn the methods behind that work into clear, reusable software.
Current focus
Cancer transcriptomics, spatial biology, and agent-ready research workflows.
Methods
Python, R, Snakemake, single-cell and spatial analysis
Open science
Reusable workflows, clear documentation, and research software
Research / 02
Research interests
My work combines biological questions with rigorous computational analysis and reproducible systems.
Long-read Sequencing
Studying transcription, RNA processing, and epigenetic regulation at single-molecule resolution.
Research Systems
Building reproducible analysis tools and workflows that stay legible to both scientists and AI agents.
#Transcriptomics#Epigenetics#Nanopore sequencing#Single-cell omics#Spatial biology#3D Genome
Education / 03
Academic training
A foundation spanning agriculture, molecular biology, and computational genomics.
2019 — 2023
Ph.D. in Biology
Southern University of Science and Technology
Research in transcriptomics, epigenetics, and single-molecule sequencing.
Shenzhen, China
2017 — 2019
M.S. in Agriculture
China Agricultural University
Graduate training in agricultural and computational life sciences.
Beijing, China
2013 — 2017
B.S. in Agriculture
South China Agricultural University
Undergraduate study in agriculture and the biological sciences.
Guangzhou, China
Publications / 04
Publications
Research spanning cancer biology, long-read transcriptomics, and functional genomics.
Full publication profile- 01
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