Tao Deng

The Chinese University of Hong Kong, Shenzhen, Guangdong, China

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Harnessing statistics and code to decipher the secrets of life.

Good morning, good afternoon and good night!

I am Tao Deng, currently a second-year Ph.D. student in Data Science at The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), where mentored by Professor Tianwei Yu from the School of Data Science. I am also conducting research projects under the supervision of Professor Hao Wu at Shenzhen Institute of Advanced Technology (SIAT). Prior to this, I obtained my B.S. degree in Data Science and Big Data Technology from Zhongnan University of Economics and Law (ZUEL), Wuhan, China.

My research interests include developing machine learning and statistical methods to address challenges in the analysis of single-cell and spatial omics data.

news

Mar 07, 2025 Our research on cofunctional gene groups across both cell types and tissue domains has been accepted in GPB! :sparkles: :smile:

latest posts

selected publications

  1. Genome Biol
    scCTS: Identifying the Cell Type-Specific Marker Genes from Population-Level Single-Cell RNA-seq
    Luxiao Chen*, Zhenxing Guo*Tao Deng, and Hao Wu
    Genome Biology, Oct 2024
  2. Brief. Bioinform.
    A Cofunctional Grouping-Based Approach for Non-Redundant Feature Gene Selection in Unannotated Single-Cell RNA-seq Analysis
    Tao Deng*, Siyu Chen, Ying Zhang, Yuanbin Xu, Da Feng, Hao Wu, and Xiaobo Sun*
    Briefings in Bioinformatics, Feb 2023