Statistics Risk Management Science
Statistics Quantitative Finance and Risk Management Science
Risk Management Science Science Faculty
Quantitative Finance and Risk Management Science
LIN, Zhixiang 林志翔
Name LIN, Zhixiang 林志翔
Position Assistant Professor
Email zhixianglin [at] sta.cuhk.edu.hk
Phone Number 3943 7921
Fax Number 2603 5188
Address LSB 124B
Homepage http://www.sta.cuhk.edu.hk/ZXLin/
Detail Image
Academic Background
B.S., Tsinghua University
M.A., Yale University
Ph.D., Yale University

Research Interest
Bayesian Statistics
Statistical/Machine Learning
Statistical Modeling and Analysis of Big Data Genomics and Computational Biology

Selected Publications
  1. Mingfeng Li, ..., BrainSpan Consortium*, ..., Nenad Sestan: Integrative functional genomic analysis of human brain development and neuropsychiatric risks. Science. 2018, 362:6420.
    BrainSpan Consortium*: Lin Z is a member of the BrainSpan consortium. In the collaboration with Nenad Sestan, the method AC-PCA is implemented in this paper for novel biological findings.
  2. Daley T, Lin Z, Bhate S, Lin X, Liu Y, Wong, WH, and Qi L: CRISPhieRmix: a hierarchical mixture model for CRISPR pooled screens. Genome Biology. 2018, 19:159.
  3. Zamanighomi M*, Lin Z*, Daley T*, Chen Xi , Zhana Duren, Schep A, Greenleaf WJ, and Wong WH: Unsupervised clustering and epigenetic classification of single cells. Nature Communications. 2018 (Accepted)
    *equal contribution
  4. Lin Z, Yang C, Zhu Y, Duchi JC, Fu Y, Wang Y, Jiang B, Zamanighomi M, Xu X, Li M, Sestan N, Zhao H, and Wong WH: Simultaneous dimension reduction and adjustment for confounding variation. Proceedings of the National Academy of Sciences of the United States of America. 2016, 113 (51): 14662-14667.
  5. Lin Z, Wang T, Yang C, and Zhao H: On joint estimation of Gaussian graphical models for spatial and temporal data. Biometrics. 2017, 73: 769-779.
  6. Lin Z, Sanders SJ, Li M, Sestan N, State MW and Zhao H: A Markov Random Field-based approach to characterizing human brain developments using spatial-temporal transcriptome data. Annals of Applied Statistics 2015, 9 (1): 429-451.
  7. Willsey AJ, Sanders SJ, Li M, Tebbenkamp AT, Muhle RA, Reilly SK, Lin Z, Fertuzinhos S, Miller JA, Murtha MT, Bichsel C, Niu W, Cotney J, Gulhan A, Gockley J, Gupta A, Han W, He X, Homan E, Klei L, Lei J, Liu W, Liu L, Lu C, Xu X, Zhu Y, Mane SM, Lein ES, Wei L, Noonan JP, Roeder K, Devlin B, Sestan N and State MW: Co-expression networks implicate human mid-fetal deep cortical projection neurons in the pathogenesis of autism. Cell 2013, 155 (5): 997-1007.

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