BIMSA > Rongling Wu
Professor Rongling Wu

Affiliation: BIMSA , YMSC

Group: Statistics, Probability and Data Science

Office: A3-3-305

Email: ronglingwu@bimsa.cn

Research Field: Applied Statistics, Mathematical Biology, Computational Medicine

CV

Biography

Rongling Wu, received a Ph.D. in Quantitative Genetics from the University of Washington (Seattle) in 1995. He was a Distinguished Professor of Statistics and Public Health Sciences at Pennsylvania State University, and Director of the Center for Statistical Genetics. He is currently the Zeng Siming Chair Professor of Yau Mathematical Sciences Center, Tsinghua University. He is also a researcher at Yanqi Lake Beijing Institute of Mathematical Sciences and Applications, and also serves as editor-in-chief, associate editor, special editor and editorial board member of several journals in the fields of genetics, bioinformatics and computational biology. He was selected as a fellow of the American Association for the Advancement of Science and the American Statistical Association, and won the Distinguished Researcher Award of the American Institute of Applied Mathematics and Statistics (SAMSI), the University of Florida Research Fund Professor Award, the Pennsylvania State University Distinguished University Professor Award, and the Floyd Science Innovation Award. Research interests include: developing interdisciplinary statistical methods to reveal the genetic control mechanisms of complex traits and human complex diseases. The proposed functional mapping method can effectively discover the genetic rules of trait development and describe the key patterns of gene effects changing over time and space. Combining functional mapping with evolutionary game theory, scale theory, and prey-predator theory, a series of computational methods have been developed to construct multi-level, multi-space, and multi-scale genotype-phenotype relationships from molecules to phenotypes The three-dimensional network provides analysis tools for systems biology, systems medicine, and systems pharmacology research. Published more than 400 SCI papers in important international journals such as Nature Reviews Genetics, Nature Communications, PNAS, Journal of the American Statistical Association, Annals of Applied Statistics, Physics of Life Reviews, Physics Reports, Briefings in Bioinformatics, Cell Reports, Evolution, etc. The research results have been cited or highlighted by important journals such as Science and Cell.

Research Interest

  • My research interest is focused on dissecting the genetic architecture of complex traits underlying agricultural production, human diseases, and evolutionary novelties. Complex traits are multifactorial, dynamic, interdependent, and sensitive to environmental signals, proven to represent one of the most difficult subjects of research in modern biology. My research program has been centered on disentangling such complexities of complex traits by developing interdisciplinary, sophisticated statistical methods and designing elegant biological experiments, through which new concepts and theories for genetic research and new insight into genetic mechanisms can be expected to gain.

Education Experience

  • 1990 - 1995      University of Washington      Quantitative Genetics      Doctor
  • 1984 - 1987      Nanjing Forestry University      Forest Genetics      Master
  • 1980 - 1984      Nanjing Forestry University      Forestry      Bachelor

Work Experience

  • 2022 -      BIMSA      Professor
  • 2015 -      Department of Statistics, Pennsylvania State University      Distinguished Professor
  • 2009 -      Beijing Foresty University      Principal Investigator
  • 2008 - 2008      Princeton University      Visiting Fellow
  • 2008 -      Center for Statistical Genetics, Departments of Public Health Sciences and Statistics, Pennsylvania State University      Director
  • 2008 - 2015      Department of Statistics, Pennsylvania State University      Professor
  • 2007 - 2008      University of Florida      Research Foundation Professor
  • 2003 - 2008      Department of Statistics, University of Florida      Associate Professor (with tenure)
  • 2000 - 2003      Department of Statistics, University of Florida      Assistant Professor
  • 1998 - 2000      North Carolina State University      Post-doctoral Associate
  • 1996 - 1998      North Carolina State University      Post-doctoral Associate
  • 1995 - 1996      University of Washington      Post-doctoral Associate
  • 1987 - 1990      Department of Forestry, Nanjing Forestry University      Assistant Professor

Publication

  • [1] Rongling Wu, Claudia Gragnoli, The melanocortin receptor genes are linked to and associated with the risk of polycystic ovarian syndrome in Italian families, Journal of Ovarian Research (2024)
  • [2] Li Feng, Huiying Gong, Shen Zhang, Xiang Liu, Yu Wang, Chengwen Xue, Christopher H. Griffin, Jie Wu, Shing-Tung Yau, and Rongling Wu, Hypernetwork modeling and topology of high-order interactions for complex systems, PNAS, 121(40), e2412220121 (2024)
  • [3] Shi-Cheng Lei, Hui Liu, Yan Jin, Yun-Feng Wu, Yuehua Cui, Rongling Wu, Da-Qi Cao, Reverse solute diffusion enhances sludge dewatering in dead-end forward osmosis, Membranes (2024)
  • [4] Feng Song, Wenyuan Xu, Anket Sharma, Vijay Pratap Singh, Durgesh Kumar Tripathi, Daoliang Yan, Huwei Yuan, Hong Chen, Rongling Wu, Bingsong Zheng, Physiological mechanisms of Carya illinoensis tolerance to manganese stress, submitted to Plant Physiology and Biochemistry (2024)
  • [5] Junying Yuan, Ziyu Sun, Jianyu Ye, Weimin Sun, Libo Jiang, Bing Shan, Mengmeng Zhang, Jingyi Xu, Wanjin Li, Jianping Liu, Hongyang Jing, Tian Zhang, Meiling Hou, Cen Xie, Rongling Wu, and Heling Pan, Cooperation of TRADD- and RIPK1-dependent Cell Death Pathways in Maintaining Intestinal Homeostasis, Nature Cell Biology (2024)
  • [6] Shuai Liu , Xiaokang Fu , Xuelian Du , Jian Hu , Lianjia Luo , Changjian Fa , Rongling Wu , Laigeng Li , Changzheng Xu , Dong Chen , Chunzhao Liu , Yue Wang, The auxin-PLETHORA 5 module regulates wood fibre development in Populus tomentosa, Nature Plants (2024)
  • [7] Huiying Gong, Hongxing Wang, Yu Wang, Shen Zhang, Xiang Liu, Shuang Wu, Jie Wu, Xiaomei Sun, Shougong Zhang, Shing-Tung Yau, and Rongling Wu, Topological change of soil microbiota networks for forest resilience under global warming, Physics of Life Reviews, 50, 228-251 (2024)
  • [8] Ang Dong, Li Feng, Dengcheng Yang, Shuang Wu, Jinshuai Zhao, Jing Wang, and Rongling Wu, FunGraph: A statistical protocol to reconstruct omnigenic multilayer interactome networks for complex traits, STAR Protocols, 2(2024), 4, 100985
  • [9] Jincan Che, Shen Zhang, Huiying Gong, Claudia Gragnoli, Christopher Griffin, and Rongling Wu, IdopNetwork as a predictor of drug response, Drug Discovery Today (2024)
  • [10] Yu Wang, Xiaoqing He, Yi Jin, Dengcheng Yang, Jincan Che, Huiying Gong, and Rongling Wu, A quantitative ecological genetic model of phenotypic plasticity in species interactions, accepted by Methods in Ecology and Evolution(2024)
  • [11] Jincan Che, Li Feng, Huiying Gong, Claudia Gragnoli, Christopher Griffin, Rongling Wu, A computational model of intra- and extratumoral crosstalk in tumor growth, submitted to Cancers(2024)
  • [12] Huiying Gong, Hongxing Wang, Yu Wang, Shen Zhang, Xiang Liu, Jincan Che, Shuang Wu, Jie Wu, Xiaomei Sun, Shougong Zhang, Shing-Tung Yau, and Rongling Wu, Towards a better understanding of structural-functional relationships for the soil microbiota, accepted by Physics of Life Reviews(2024)
  • [13] Rongling Wu, A conceptual model of wiring up whole plasticity genes, accepted by New Phytologist(2024)
  • [14] Rongling Wu, Claudia Gragnoli, Linkage and association of rs3110045 and rs28499085 variants in the thyrotropin-releasing hormone receptor (TRHR) gene with the risk of familial type 2 diabetes, Aspects of Molecular Medicine, 3, 100037 (2024)
  • [15] Guohui Fan, Wuyue Yang, Dingyi Wang, Feiya Xu, Yeming Wang, Chaozeng Si, Zhenguo Zhai, Zhongjie Li, Rongling Wu, Bin Cao, Prolonged lymphopenia and prognoses among inpatients with different respiratory virus infections: a retrospective cohort study, Heliyon(2024)
  • [16] Da-Qi Cao, Yan Jin, Hui Liu, Shi-Cheng Lei, Yi-Xuan Song, Jia-Lin Han, Xiao-Di Hao, Ming-Guo Ma, Zhongguo Zhang, Rongling Wu, Concentration properties of biopolymers via dead-end forward osmosis, International Journal of Biological Macromolecules(2024)
  • [17] Chintan Gandhi, Lynnlee Depicolzuane, Chixiang Chen, Catherine Roberts, Natalie Sicher, Katelyn Johnson Wegerson, Neal Thomas, Rongling Wu, and Joanna Floros, Association of SNP-SNP interactions of surfactant protein genes with severity of respiratory syncytial virus infection in children, accepted by Frontiers in Genetics(2024)
  • [18] Da-Qi Cao, Rong-Kun Fang, Yi-Xuan Song, Ming-Guo Ma, Haiyan Li, Xiao-Di Hao, Rongling Wu, Xiangyu Chen, Contact-electro-catalysis for degradation of trace antibiotics in wastewater, Chemical Engineering Journal, 487(2024), 150531
  • [19] Dong A, Wang J, Che JC, Wu RL, A statistical mechanic model of tissue crosstalk during graft formation, accepted by Computational and Structural Biotechnology Journal(2024)
  • [20] Rongling Wu, Teodor T. Postolache, Claudia Gragnoli, A Novel Gene Linked to and Associated with Familial Type 2 Diabetes and Depression, accepted by Int J Mol Sci(2024)
  • [21] Che JC, Dong A, Wu S, Wu RL, A computational-experimental design to map the transgenerational genetic architecture of phenotypic plasticity, accepted by Horticulture Research(2024)
  • [22] Sangam Lal Dwivedi, Luis Felipe Quiroz, Charles Spillane, Rongling Wu, Autar K. Mattoo, Rodomiro Ortiz, Unlocking allelic variation in circadian clock genes to develop environmentally robust and productive crops, Planta, 259(2024), 72
  • [23] Christopher Griffin, Li Feng, and Rongling Wu, Spatial Dynamics of Higher Order Rock-Paper-Scissors and Generalisations, Journal of Physics A: Mathematical and Theoretical, 57(2024), 18, 185701
  • [24] Wu RL, Postolache TT, Gragnoli C, PRLHR: A Novel Gene Linked to and Associated with Familial Type 2 Diabetes and Depression, accepted by Aspects of Molecular Medicine(2023)
  • [25] Shuang Wu, Xiang Liu, Ang Dong, Claudia Gragnoli, Christopher Griffin, Jie Wu, Shing-Tung Yau, and Rongling Wu, The metabolomic physics of complex diseases, Proceedings of the National Academy of Sciences of the United States of America, 120(2023), 42, e2308496120
  • [26] Ang Dong, Shuang Wu, Jincan Che, Yu Wang, and Rongling Wu, IdopNetwork: A network tool to dissect spatial community ecology, Methods in Ecology and Evolution, 14(9), 2272-2283 (2023)
  • [27] Kaiyan Lu, Xueshun Wang, Huiying Gong, Dengcheng Yang, Meixia Ye, Qing Fang, Xiao-Yu Zhang, and Rongling Wu, The genetic architecture of trait covariation in Populus euphratica, a desert tree, Frontiers in Plant Science(2023)
  • [28] Li Feng, Wuyue Yang, Mengdong Ding, Luke Hou, Claudia Gragnoli, Christopher Griffin, and Rongling Wu, A personalized pharmaco-epistatic network model of precision medicine, Drug Discovery Today, 28(2023), 7, 103608
  • [29] Yu Wang, Mengmeng Sang, Claudia Gragnoli, Christopher Griffin, and Rongling Wu, A pleiotropic-epistatic entanglement model of complex traits, Drug Discovery Today, 28(2023), 11, 103790
  • [30] Li Feng, Dengcheng Yang, Sinan Wu, Chengwen Xue, Mengmeng Sang, Xiang Liu, Jie Wu, Claudia Gragnoli, Christopher Griffin, Chen Wang, Shing-Tung Yau, and Rongling Wu, Network modeling and topology of aging, Physics Reports (2023)
  • [31] Amin M, Syed S, Wu RL, Postolache TT, Gragnoli C, Novel linkage and association of the mineralocorticoid receptor gene (NR3C2) with familial type 2 diabetes and depression and their comorbidity, Aspects of Molecular Medicine, 1(2023), 100003
  • [32] Christopher Griffin, and Rongling Wu, Higher-order dynamics in the replicator equation produce a limit cycle in rock-paper-scissors, Europhysics Letters, 142(2023), 33001
  • [33] Mengmeng Sang, Li Feng, Ang Dong, Claudia Gragnoli, Christopher Griffin,, and Rongling Wu, The genomic physics of tumor–microenvironment crosstalk, Physics Reports, 1029(2023), 1-51
  • [34] Zhang X, Lu K, Gong HY, Yang D, Ye M, Fang Q, Wu RL, Genome-wide network analysis of above- and belowground co-growth in Populus euphratica, Plant Phenomics, 6(2023), Article ID: 0131
  • [35] Wu RL, Gragnoli C, The thyrotropin releasing hormone receptor (TRHR) gene is linked to and associated with the risk of familial type 2 diabetes, accepted by Aspects of Molecular Medicine(2023)
  • [36] Rongling Wu, Quantitative Methods for Precision Medicine: Pharmacogenomics in Action, Chapman and Hall/CRC, New York(2022)
  • [37] Mengmeng Sang, Ang Dong, Shuang Wu, Feng Li, Jing Wang, Christopher Griffin, and Rongling Wu, A graph model of combination therapies, Drug Discovery Today, 27(5), 1210-1217 (2022)
  • [38] Qian Wang, Ang Dong, Libo Jiang, Christopher Griffin, and Rongling Wu, A Single-Cell Omics Network Model of Cell Crosstalk during the Formation of Primordial Follicles, Cells, 11(2022), 3, 332
  • [39] Ang Dong, Jinshuai Zhao, Christopher Griffin, and Rongling Wu, The Genomic Physics of COVID-19 Pathogenesis and Spread, Cells, 11(2021), 1, 80
  • [40] Qian Wang, Ang Dong, Libo Jiang, Christopher Griffin, and Rongling Wu, Inferring multilayer interactome networks shaping phenotypic plasticity and evolution, Nature Communications, 12(2021), 1, 5304
  • [41] Lidan Sun, Ang Dong, Christopher Griffin, and Rongling Wu, Statistical mechanics of clock gene networks underlying circadian rhythms, Applied Physics Reviews, 8(2021), 021313
  • [42] Haojie Wang, Meixia Ye, Yaru Fu, Ang Dong, Miaomiao Zhang, Li Feng, Xuli Zhu, Wenhao Bo, Libo Jiang, Christopher H. Griffin, Dan Liang, and Rongling Wu, Modeling genome-wide by environment interactions through omnigenic interactome networks, Cell Reports, 35(2021), 6, 109114
  • [43] Christopher Griffin, Libo Jiang, and Rongling Wu, Analysis of quasi-dynamic ordinary differential equations and the quasi-dynamic replicator, Physica A: Statistical Mechanics and its Applications, 555(2020), 124422

 

Update Time: 2024-12-06 20:57:10