Summary of Research Interests
Dr. Lin's current methodological work is funded by the National Cancer Institute (NCI)'s Outstanding Investigator Award (R35, 2015-2029) and U19 , the National Human Genome Research Institute (NHGRI)'s Impact of Genomic Variation on Function (IGVF) Program U01 , and and the National Heart, Lung and Blood Institute's R01 grant. Her past work was supported by the MERIT award (R37, 2007-2015) and the National Cancer Institute (NCI)'s P01 grant, and the National Human Genome Research Institute's U01 grant.
Statistical Areas of Interest
- Statistical genetics and genomics
- Scalable statistical inference and machine learning for massive data
- Rare variant analysis of whole genome sequencing studies
- Analysis of biobanks
- Federated and transferred learning and meta-analysis
- Pathway and network analysis
- Integrative analysis of different types of data
- Causal inference
- Mendelian Randomization and causal mediation Analysis
- Polygenic risk prediction
- Single cell genomics
- Correlated data (clustered/longitudinal and spatial data)
- Case-control and cohort data
- Nonparametric and semiparametric regression
- Estimating equations and mixed models
- Measurement error
Domain Areas of Interest:
- Genetic epidemiology and environmental genetics and genomics
- Epidemiology, environmental health and population sciences
- Common diseases
- Genes and Environment
- Lung cancer and lung diseases
- Cardiovascular diseases
- Sleep apnea
- Epigenetics
Current Grants as PI and Multiple PI
- Principal Investigator (2015-2029), R35 (Outstanding Investigator Award), Statistical Methods for Analysis of Massive Genetic and Genomic Data in Cancer Research .
- Principal Investigator (2022-2026), R01, NHLBI Statistical Methods for Integrative Analysis of Large-Scale Multi-Ethnic Whole Genome Sequencing Studies and Biobanks of Common Diseases.
- Multiple Principal Investigator (2021-2026), U01, NHGRI Predictive Modeling of the Functional and Phenotypic Impacts of Genetic Variants.
- Multiple Principal Investigator (2017-2023), U19, NCI Integrative analysis of lung cancer etiology and risk.
- Principal Investigator (2009-2025), T32, NIGMS, Interdisciplinary training: Statistical Genetics/Genomics and Computational Biology.
Past Statistical Grants
- Contact Principal Investigator (2008-2018), PO1, NCI, Statistical Informatics in Cancer Research.
- Contact Principal Investigator (2016-2022), U01, NHGRI, Harvard Analysis Center of the Genome Sequencing Program of the National Human Genome Research Institute (NHGRI) "Powering whole genome sequence-based genetic discovery for common human diseases."
- Principal Investigator (2009-2014), T32, NIGMS, Joint Interdisciplinary Training in Biostatistics and Computational Biology.
- Principal Investigator (2007-2015), R37 (MERIT Award), NCI, Statistical Methods for Correlated and High-Dimensional Biomedical Data.
- Principal Investigator (2002-2007), R01, NCI, Statistical Methods for Correlated Biomedical Data.
- Principal Investigator (1997-2002), R29 (FIRST Award), NCI, New Mixed Effects Models for Correlated Biomedical Data.
- Principal Investigator (2001-2008)/co-PI (2008-2013), R13, NCI, Workshop for Junior Biostatisticians in Cancer Research.
- Principal Investigator (2006-2016), R13, NCI, Conferences on Emerging Statistical Issues in Biomedical Research.