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Xihong Lin
H指数:93
被引数:4.2万
个人简介
Xihong Lin is Professor and Former Chair of the Department of Biostatistics, Coordinating Director of the Program in Quantitative Genomics at the Harvard T. H. Chan School of Public Health, and Professor and Chair of the Department of Statistics in the Faculty of Arts and Sciences at Harvard University, and Associate Member of the Broad Institute of MIT and Harvard. Dr. Lin’s research interests lie in the development and application of scalable statistical and machine learning/AI methods for the analysis of massive and complex genetic and genomic, epidemiological and health data. Some examples of her current statistical genetic and genomic research include methods and applications for the analysis of large scale Whole Genome Sequencing studies, biobanks and Electronic Health Records, whole genome variant functional annotations, polygenic risk prediction and heritability estimation, genes and environment, and analysis of single cell multi-nome data. Additional examples include integrative analysis of multi-modal data, Mendelian Randomization and causal mediation analysis, analysis of epidemiological and complex observational studies, and analysis of COVID-19 epidemic data. Dr. Lin’s statistical ML/AI research includes scalable statistical ML/AI methods for big data, generative AI and prediction models, testing a large number of complex hypotheses, causal inference, federated, transferred and representation learning, cloud-based statistical computing, and mixed models, missing data, nonparametric and semiparametric regression, and statistical methods for epidemiological and environmental studies. Dr. Lin’s statistical methodological research has been supported by the MERIT Award (R37) (2007-2015), the Outstanding Investigator Award (OIA) (R35) (R35) (2015-2029) from the National Cancer Institute (NCI), the R01 grant from the National Heart, Lung, and Blood Institute. She is the multiple PI of a Predictive Modeling Center of the Impact of Genomic Variation on Function (IGVF) Program of the National Human Genome Research Institute (NHGRI), and the multiple PI of the U19 grant on Integrative Analysis of Lung Cancer Etiology and Risk from NCI. She is also the contact PI of the T32 training grant on interdisciplinary training in statistical genetics and computational biology. She is the former contact PI of the Program Project (P01) on Statistical Informatics in Cancer Research from NCI, and the former contact PI of the Harvard Analysis Center (U19) of the Genome Sequencing Program of the National Human Genome Research Institute. Dr. Lin was elected to the National Academy of Medicine in 2018 and the National Academy of Sciences in 2023. She received the 2002 Mortimer Spiegelman Award and the 2025 Lowell Reed Lecture Award from the American Public Health Association, the 2006 Committee of Presidents of Statistical Societies (COPSS) Presidents’ Award, the 2017 COPSS FN David Award, the 2008 Janet L. Norwood Award for Outstanding Achievement of a Woman in Statistics, the 2022 National Institute of Statistical Sciences Jerome Sacks Award for Outstanding Cross-Disciplinary Research, and the 2022 Marvin Zelen Leadership in Statistical Science Award. She is an elected fellow of American Statistical Association (ASA), Institute of Mathematical Statistics, International Statistical Institute, and the American Association of the Advancement of Sciences (AAAS). Dr. Lin is the former Chair of the Committee of Presidents of Statistical Societies (COPSS) (2010-2012) and a former member of the Committee of Applied and Theoretical Statistics (CATS) of the National Academy of Science. She is the founding chair of the US Biostatistics Department Chair Group, and the founding chair of the Young Researcher Workshop of East-North American Region (ENAR) of the International Biometric Society. She co-launched the Section of Statistical Genetics and Genomics of the American Statistical Association and served as a former section chair. She is the former Coordinating Editor of Biometrics and the founding co-editor of Statistics in Biosciences. She has served on a large number of committees of many statistical societies, numerous NIH and NSF review panels, and several committees of National Academies.
教育背景
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工作经历
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荣誉奖项
- National Academy of Medicine（2018）
- National Academy of Sciences（2023）
- Mortimer Spiegelman Award（2002）｜American Public Health Association
- Lowell Reed Lecture Award（2025）｜American Public Health Association
- Committee of Presidents of Statistical Societies (COPSS) Presidents’ Award（2006）｜Committee of Presidents of Statistical Societies (COPSS)
- COPSS FN David Award（2017）｜Committee of Presidents of Statistical Societies (COPSS)
- Janet L. Norwood Award for Outstanding Achievement of a Woman in Statistics（2008）
- National Institute of Statistical Sciences Jerome Sacks Award for Outstanding Cross-Disciplinary Research（2022）｜National Institute of Statistical Sciences
- Marvin Zelen Leadership in Statistical Science Award（2022）
- fellow of American Statistical Association (ASA)｜American Statistical Association (ASA)
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Nature Methods
IF32.1
结合SEEK-VFI的单细胞分析中基于轨迹的基因特征选择
Cell Reports Methods
IF4.5
利用图REML改进的遗传力分解和基于汇总统计的富集分析
Nature Genetics
IF29
EBV毒株与宿主HLA相互作用以驱动鼻咽癌风险
Nature
IF48.5
LAMBDA：基于大型模型的数据代理的讨论
cellSTAAR：整合基于单细胞测序的功能数据，以提升非编码区域稀有变异关联检验的功效
Nature Methods
IF32.1
基因水平分析揭示来自严重SARS-CoV-2全基因组关联研究的新颖嗅觉相关信号与疾病死亡率存在关联
COVID
IF1
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基于应用程序的简短感恩练习对COVID-19疫情期间积极和消极日常情绪的影响
ACTA PSYCHOLOGICA
IF2.7
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CARCINOGENESIS
IF2.9
利用大型语言模型推进实时传染病预测。Nat Comput Sci 5, 467–480
患者视角：多周期咨询在提高治疗转化率和降低治疗中断率中的作用
HUMAN REPRODUCTION
IF6.1
6531名非裔美国人肺癌的全基因组关联研究揭示了新的易感基因位点
EBIOMEDICINE
IF10.8
因果中介分析：整合暴露、基因组学和表型数据
333,100个体的全基因组测序揭示了罕见的非编码单一变异和与身高的聚集关联
NATURE COMMUNICATIONS
IF15.7
