I am currently an Assistant Professor at the School of Data Science, The Chinese University of Hong Kong, Shenzhen (CUHK-SZ).

Education

• Ph.D., The Chinese University of Hong Kong, Aug 2016-Dec 2020

Department of Statistics        Advisor: Prof. Yingying Wei

• Visiting Graduate Student, Yale University, Jun 2018-Sep 2018

School of Public Health         Advisor: Prof. Shuangge Ma

• B.Sc., Zhejiang University, Sep 2012-Jun 2016

School of Mathematical Sciences

Research Interest

• Bayesian Statistics, Statistical Genomics, Statistical Computing and Big Data Analysis 

In particular, I am keen on 

• developing statistical models for complex data, such as those arising from genomics, social network and online learning;

• providing theoretical proofs for valid statistical inference;

• developing scalable algorithms for big data analysis. 

Publication

• Fangda Song, Jing Chu, Shuangge Ma and Yingying Wei (2023+) Survival Mixed Membership Blockmodel. Journal of the American Statistical Association, In Press.

• Wang, Ran, Xubin Zheng, Fangda Song, Man Hon Wong, Kwong Sak Leung, and Lixin Cheng (2023). Deciphering Associations Between Gut Microbiota and Clinical Factors using Microbial Modules. Bioinformatics, 39(5), btad213.

• Xiao Zhang, Wei Liu, Fangda Song, and Jin Liu (2023) iSC. MEB: an R package for multi-sample spatial clustering analysis of spatial transcriptomics data. Bioinformatics Advances, vbad019. 

• Ran Wang, Xubin Zheng, Jun Wang, Shibiao Wan, Fangda Song, Man Hon Wong, Kwong Sak Leung, and Lixin Cheng (2022) Improving bulk RNA-seq classification by transferring gene signature from single cells in acute myeloid leukemia. Briefings in Bioinformatics, 23(2).  

• Fangda Song, Ga Ming Chan and Yingying Wei (2020) Flexible Experimental Designs for Valid Single-cell RNA-sequencing Experiments Allowing Batch Effects Correction. Nature Communications, 11(1), 1-15.

  • Software: BUSseq, an R package interfacing C++ code for implementing parallel MCMC algorithm

Award

• 2019 American Statistical Association Section on Statistics in Genomics and Genetics Distinguished Student Paper Award

• 2019 Student Travel Award of the 2019 International Conference on Data Science, School of Data Science and Institute for Big Data, Fudan University

• 2018 Overseas Research Award, Graduate School, The Chinese University of Hong Kong

• 2016 Hong Kong Ph.D. Fellowship, The Research Grants Council, Hong Kong

Funding

• Grant supported by the Young Scientists Fund of the National Natural Science Foundation of China, 2023-2025, Principal Investigator

Title: Experimental design and statistical modeling for multi-phenotype single-cell transcriptome sequencing

• Shenzhen Stability Support Program supported by Shenzhen Science and Technology Innovation Committee, 2022-2025, Principal Investigator

Title: Statistical modeling and analysis of time-to-event data in social networks

• Grant supported by General Program of the National Natural Science Foundation of China, 2024-2027, Co-Investigator

Title: Statistical methods of dimensionality reduction, automatic annotation, data integration, and spatial deconvolution for spatially resolved transcriptomics

Teaching

Postgraduate courses

• DDA6030 Advanced Statistics Theory: Spring 2022 and 2023

Undergraduate courses

• DDA4010 Bayesian Statistics: Spring and Fall 2022, and Fall 2023

• STA2002 Probability and Statistical II: Spring 2024

• STA3005 Statistical Computing: Spring 2023 and 2024

• STA3050 Statistical Software: Fall 2021

Service

External reviewer for (in alphabetical order):

Biostatistics, Complexity, Electronic Journal of Statistics, Nucleic Acids Research, Scientific Reports, Statistics and Its Interface, 

Statistics in Biosciences, The Canadian Journal of Statistics

Conference Organization

• Topic-contributed session in 2024 Joint Statistical Meetings, Portland, Aug 2024

• Topic-contributed session in STATGEN 2024: Conference on Statistics in Genomics and Genetics, Pittsburgh, May 2024

• Invited session in The 2023 ICSA China Conference, Chengdu, Jun 2023

Internal service:

• Member of the Liaoning Undergraduate Admission Committee, 2021-Present

• Coordinator of Fundamental Mathematical Statistics and Financial Technology Teaching Laboratory, 2022-Present

• Member of Technology and Innovation Center for Digital Economy, 2022-Present

• Member of the Computing Committee, 2023-Present

• Member of Guangdong Provincial Key Laboratory of Mathematical Foundations for Artificial Intelligence, 2024-2025

• Chair of the Undergraduate Research Committee, 2022-2023

• Member of the Faculty Development Committee, 2021-2022

• Member of the Workshops and Seminars Committee, 2021-2022

Members:

• American Statistical Association

• International Society for Bayesian Analysis

• International Chinese Statistical Association