牟天，博士，助理教授，深圳市高层次人才C类。2012年获得华南理工大学数学学士学位，2018年获得爱尔兰国立科克大学统计学博士学位，2018年至2020年期间在瑞典卡罗林斯卡医学院流行病与生物统计学系从事博士后研究工作，2020年加入深圳大学生物医学工程学院。主要研究方向为医学图像分析、生物信息学等领域。相关研究成果发表于国际顶级期刊IEEE transactions on Medical Imaging, American Journal of Hematology, Bioinformatics等。受邀参加国际学术会议9次，其中作大会演讲报告4次。曾任英国皇家统计协会会员（2016-2018年）。受邀担任Briefings in Bioinformatics、IEEE Access等多个期刊的审稿人。

医学图像分析
生物信息学
影像基因组学

1.国家自然科学基金青年科学基金项目，2023至2025年，30万元，在研，主持。
2.广东省自然科学基金面上项目，2023至2025年，10万元，在研，主持。
3.深圳市优秀科技创新人才培养项目，2022至2024年，30万元，在研，主持。

[1] T. Mou, J. Huang & F. O‘Sullivan*, “The Gamma Characteristic of Reconstructed PET Images: Implications for ROI Analysis,” IEEE Transactions on Medical Imaging, 2018, 37(5): 1092-1102. (Top期刊，中科院1区)
[2] J. Huang#, T. Mou#, K. O'Regan & F. O’Sullivan*, “Spatial Auto-regressive Analysis of Correlation in 3-D PET with Application to Model-Based Simulation of Data,” IEEE Transactions on Medical Imaging, 2020, 39(4): 964-974. (Top期刊，中科院1区)
[3] T. Mou, W. Deng, F. Gu, Y. Pawitan* & T. N. Vu*, “Reproducibility of Methods to Detect Differentially Expressed Genes from Single-Cell RNA Sequencing,” Frontiers in genetics, 2020, 10(1331): 1-12.
[4] T. Mou, Y. Pawitan, M. Stahl, M. Vesterlund, W. Deng, R. Jafari, A. Bohlin, A. Österroos, L. Siavelis, H. Bäckvall, T. Erkers, S. Kiviluoto, B. Seashore-Ludlow, P. Östling, L. M. Orre, O. Kallioniemi, S. Lehmann, J. Lehtiö, T. N. Vu*, “The transcriptome-wide landscape of molecular subtype-specific mRNA expression profiles in acute myeloid leukemia”, American Journal of Hematology, 2021, 96(5): 580-588. (Top期刊，中科院1区)
[5] Y. Wu#, T. Mou#, K. Ma, F. Fan*, “Color-Based Clustering Algorithm as A Novel Image Analytical Method for Characterizing Maltose Crystallinity in Amorphous Food Models”, Food Research International, 2021, 144(110367).  (Top期刊，中科院1区)
[6] T. Cui, X. Wu, T. Mou*, F. Fan*, “Water usability as a descriptive parameter of thermodynamic properties and water mobility in food solids”, NPJ Science of Food, 2023, 7(30), 1-12. (Top期刊，中科院1区)
[7] T. Mou#, J. Liang#, T. N. Vu, M. Tian and Y. Gao*, A Comprehensive Landscape of Imaging Feature-Associated RNA Expression Profiles in Human Breast Tissue. Sensors, 2023, 23, 1432.
[8] L. Pan, T. Mou, Y. Huang, W. Hong, M. Yu, X. Li*, “Ursa: A Comprehensive Multiomics Toolbox for High-Throughput Single-Cell Analysis”, Molecular Biology and Evolution, 2023, 40(12). (Top期刊，中科院1区)[9] W. Deng, T. Mou, K. R. Kalarl, N. Niu, L. Wang, Y. Pawitan, & T. N. Vu*, “Alternating EM algorithm for a bilinear model in isoform quantification from RNA-seq data,” Bioinformatics, 2020, 36(3): 805-812.（Top期刊，中科院2区）
[10] F. Fan, T. Mou, B. Nurhadi, & Y. H. Roos*, “Water sorption-induced crystallization, structural relaxations and strength analysis of relaxation times in amorphous lactose/whey protein systems,” Journal of Food Engineering, 2017, 196:150-158. (Top期刊，中科院1区)
[11] Q. T. Trac, Y. Pawitan, T. Mou, T. Erkers, P. Östling, A. Bohlin, A. Österroos, M. Vesterlund, R. Jafari, I. Siavelis, H. Bäckvall, S. Kiviluoto, L. M. Orre, M. Rantalainen, J. Lehtiö, S. Lehmann, O. Kallioniemi and T. N. Vu*, “Prediction model for drug response of acute myeloid leukemia patients”, NPJ Precision Oncology, 2023, 7(32): 1-10. (Top期刊，中科院1区)
[12] E. Wolsztynski, J. O’Sullivan, N. M. Hughes, T. Mou, P. Murphy, F. O’Sullivan, F* & K. O’Regan, “Combining Structural and Textural Assessments of Volumetric FDG-PET Uptake in NSCLC,” IEEE Transactions on Radiation and Plasma Medical Sciences, 2019, 3:421-433.
[13] J. Zheng, Q. Yang, N. Makris, K. Huang, J. Liang, C. Ye, X. Yu, M. Tian, T. Ma, T. Mou, W. Guo, R. Kikinis & Y. Gao*, “Three-Dimensional Digital Reconstruction of the Cerebellar Cortex: Lobule Thickness, Surface Area Measurements, and Layer Architecture,” The Cerebellum, 2022, 1-12.

博士期间发表的论文“The Gamma Characteristic of Reconstructed PET Images: Implications for ROI Analysis”荣获爱尔兰国立科克大学颁发的2019年度论文奖项（SEFS Publication of the Year）。