数学科学研究所
Insitute of Mathematical Science

葛淑菲 Shufei Ge


Career

 2020.09- present, Assistant Professor, ShanghaiTech University

 2015.04-2015.08, Senior data specialist, Merkle Inc.

 2013.07-2015.03, Junior data analyst, Merkle Inc.


Education

 2016.09-2020.07, Ph.D in Statistics, Simon Fraser University

 2011.09-2013.06, M.S. in Probability and Statistics, Wuhan University

• 2007.09-2011.06, B.S. in Statistics, Central South University  

 

Research Interest

My research interests include Bayesian statistics, statistical machine learning methods, bioinformatics, statistical genetics. Particularly, I am interested in developing more scalable methods to address important tasks in computational biology, e.g. genetic similarity analysis, neuroimaging genetics, disease prediction.

 

Selected Publications

[12] Z. Pu, S. Ge*. (2025) A Spatial-Correlated Multitask Linear Mixed-Effects Model for Imaging Genetics. Journal of Computational Biology. In press.  (*corresponding author)

[11] Y. Tao, S. Ge*. (2025) . A Mapper Algorithm with Implicit Intervals and Its Optimization. Journal of Computational Biology. In press.  (*corresponding author)

[10] Y. Tao, S. Ge*. (2025) . A distribution-guided Mapper algorithm. BMC Bioinformatics 26:73. (*corresponding author)

[9] S. Ge, S. Wang, L. Elliott. (2023) Shape Modeling with Spline Partitions.Statistics and Computing, 33:13.

[8] S. Wang#, S. Ge#, Sobkowiak, B., Wang, L., Grandjean, L., Colijn, C., and Elliott, L.T. (2023) Genome-wide association with uncertainty in the genetic similarity matrix. Journal of Computational Biology, 30 (2), 189-203. (#joint first authors). 

[7] Y. Song#, S.Ge#, J. Cao, L. Wang, F. S. Nathoo. (2022). A Bayesian Spatial Model for Imaging Genetics. Biometrics, 78(2), 742-753. (#joint first authors)

[6] S. Ge, S. Wang, F. S. Nathoo, L. Wang. (2022).  Online Bayesian learning for mixtures of spatial spline regressions. Journal of Statistical Computation and Simulation, 92(7), 1530-1566.

[5] S. Wang, S. Ge, R. Doig, L. Wang. (2022). Adaptive semiparametric Bayesian differential equations via sequential Monte Carlo. Journal of Computational and Graphical Statistics, 31(2), 600-613.

[4] S. Ge, M. Cai, G. Pei. (2022). Frequency distribution of the hereditary Alzheimer’s Disease related genes seems to fit Poisson distribution, why? . Cell Discovery, 8(1):73.

[3] S. Wang, S. Ge, C. Coljin, P. Biller, L. Wang, L. Elliott. (2021). Estimating Genetic Similarity Matrices using Phylogenies. Journal of Computational Biology,28(6), 587–600.

[2] S. Ge, S. Wang, Y.W. Teh, L. Wang, L. Elliott. (2019). Random Tessellation Forests. Advances in Neural Information Processing Systems32.

[1] B. Kirkpatrick,  S. Ge,  L. Wang. (2019). Efficient computation of the kinship coefficients. Bioinformatics, 35(6), 1002-1008.

  


Email:geshf@shanghaitech.edu.cn

Office: S519, School of Creativity & Arts







地址:上海市浦东新区华夏中路393号
邮编:201210
上海市徐汇区岳阳路319号8号楼
200031(岳阳路校区)