Overview
Dr. Seonjoo Lee is an Associate Professor of Biostatistics at Columbia University. Her research focuses on interdisciplinary works in statistics, neuroimaging, psychiatry, and neurology, strongly emphasizing developing advanced statistical methods to analyze complex, high-dimensional biomedical data. Her primary work revolves around creating AI/ML tools that integrate neuroimaging, genetic, and clinical data for improving the understanding of mechanisms and treatment of psychiatric disorders like schizophrenia and Alzheimer's disease.
Academic Appointments
- Associate Professor of Biostatistics (in Psychiatry)
Gender
- Female
Credentials & Experience
Education & Training
- BS, 2003 Statistics, Seoul National University
- MS, 2005 Statistics, Seoul National University
- PhD, 2011 Statistics and Operations Research, University of North Carolina at Chapel Hill
Committees, Societies, Councils
- American Statistical Association (ASA), Member
- Eastern North American Region (ENAR), Member
- Organization of Human Brain Mapping (OHBM), Member
- International Society to Advance Alzheimer's Research and Treatment (ISAART), Member
Editorial Boards
JAMA Psychiatry Statistical Reviewer
Research
Dr. Lee's recent research trend includes:
Multimodal Data Integration: Dr. Lee develops statistical methodologies that combine multiple data types, such as neuroimaging, genetics, and clinical data, to enhance diagnostic precision in mental health research?
High-Dimensional Data Analysis: Her work includes the analysis of longitudinal data in mental health, focusing on dimensionality reduction and independent component analysis techniques to handle complex brain data?
New Biomarker Development for Neurodegenerative Diseases and Aging: Some of her studies explore innovative metrics such as persistent-homology-based connectomes, neural flexibility, and intrinsic time scales and how they relate to cognitive decline in aging populations? and psychiatric disorders
Longitudinal Imaging: She has contributed to statistical methods in analyzing longitudinal imaging data, crucial for understanding the progression of psychiatric and neurodegenerative diseases?
Multimodal Data Integration: Dr. Lee develops statistical methodologies that combine multiple data types, such as neuroimaging, genetics, and clinical data, to enhance diagnostic precision in mental health research?
High-Dimensional Data Analysis: Her work includes the analysis of longitudinal data in mental health, focusing on dimensionality reduction and independent component analysis techniques to handle complex brain data?
New Biomarker Development for Neurodegenerative Diseases and Aging: Some of her studies explore innovative metrics such as persistent-homology-based connectomes, neural flexibility, and intrinsic time scales and how they relate to cognitive decline in aging populations? and psychiatric disorders
Longitudinal Imaging: She has contributed to statistical methods in analyzing longitudinal imaging data, crucial for understanding the progression of psychiatric and neurodegenerative diseases?
Research Interests
- Causal Inference
- Machine learning and artificial intelligence
- Missing Data
- Neuroimaging
Grants
Present Grants:
R01AG062578 Statistical method for neural mechanism mediating and moderating cognitive system in Alzheimer's disease and aging research. (PI)
R01MH124106 A Data Science Framework for Empirically Evaluating and Deriving Reproducible and Transferrable RDoC Constructs in Youth (MPI)
Past Grants:
K01AG051348 Statistical Methods for Neural Mechanisms Mediating Cognitive System in Mental Health Research (PI)
Selected Publications
Li R, Zhu X, *Lee S. Model Selection for Exposure-Mediator Interaction. Data Sci Sci.2024;3(1). doi: 10.1080/26941899.2024.2360892. Epub 2024 Jun 16. PubMed PMID: 38947225; PubMed Central PMCID: PMC11210705.
Coors A, *Lee S, Gazes Y, Gacheru M, Habeck C, Stern Y. Brain reserve affects the expression of cognitive reserve networks. Hum Brain Mapp. 2024 Apr;45(5):e26658. doi: 10.1002/hbm.26658.
Shared first authorship.
Zhang A, Wengler K, Zhu X, Horga G, Goldberg TE, *Lee S. Altered Hierarchical Gradients of Intrinsic Neural Timescales in Mild Cognitive Impairment and Alzheimer's Disease. J Neurosci. 2024 Jun 19;44(25). doi: 10.1523/JNEUROSCI.2024-23.2024.
Zhang A, Pagliaccio D, Marsh R, *Lee S. Decoding Age-specific Changes in Brain Functional Connectivity Using a Sliding-window Based Clustering Method. Published online September 28, 2023. bioRxiv doi:10.1101/2022.09.27.509677
Ryu H, Habeck C, Stern Y, *Lee S. Persistent homology-based functional connectivity and its association with cognitive ability: Life-span study. Hum Brain Mapp. 2023 Apr 17;. doi: 10.1002/hbm.26304. PubMed PMID: 37067099.
*Lee S, Choi J, Fang Z, Bowman FD. Longitudinal Canonical Correlation Analysis. J R Stat Soc Ser C Appl Stat. 2023 Jun;72(3):587-607. doi: 10.1093/jrsssc/qlad022
Jiang M, Lee S, O'Malley AJ, Stern Y, Li Z. A novel causal mediation analysis approach for zero-inflated mediators. Stat Med. 2023 Apr 18;. doi: 10.1002/sim.9689. PubMed PMID: 37071977.
Zhu X, Liu Y, Habeck CG, Stern Y, *Lee S, For-The-Alzheimer's-Disease-Neuroimaging-Initiative.Transfer Learning for Cognitive Reserve Quantification. Neuroimage. 2022 Jun 3;:119353. doi: 10.1016/j.neuroimage.2022.119353. [Epub ahead of print] PubMed PMID: 35667639.
Varangis E, Qi W, Stern Y, *Lee S. The role of neural flexibility in cognitive aging. Neuroimage. 2022 Feb 15;247:118784. doi: 10.1016/j.neuroimage.2021.118784. PubMed PMID: 34902547; PubMed Central PMCID: PMC9055953.
*Lee S, Shen H, Truong Y. Sampling Properties of color Independent Component Analysis. J Multivar Anal. 2021 Jan;181. doi: 10.1016/j.jmva.2020.104692. Epub 2020 Oct 22. PubMed PMID: 33162620; PubMed Central PMCID: PMC7641017.
Park H, *Lee S. Logistic regression error-in-covariate models for longitudinal high-dimensional covariates. Stat. 2019;8(1). doi: 10.1002/sta4.246. Epub 2019 Dec 26. PubMed PMID: 33177749; PubMed Central PMCID: PMC7654973.
Coors A, *Lee S, Gazes Y, Gacheru M, Habeck C, Stern Y. Brain reserve affects the expression of cognitive reserve networks. Hum Brain Mapp. 2024 Apr;45(5):e26658. doi: 10.1002/hbm.26658.
Shared first authorship.
Zhang A, Wengler K, Zhu X, Horga G, Goldberg TE, *Lee S. Altered Hierarchical Gradients of Intrinsic Neural Timescales in Mild Cognitive Impairment and Alzheimer's Disease. J Neurosci. 2024 Jun 19;44(25). doi: 10.1523/JNEUROSCI.2024-23.2024.
Zhang A, Pagliaccio D, Marsh R, *Lee S. Decoding Age-specific Changes in Brain Functional Connectivity Using a Sliding-window Based Clustering Method. Published online September 28, 2023. bioRxiv doi:10.1101/2022.09.27.509677
Ryu H, Habeck C, Stern Y, *Lee S. Persistent homology-based functional connectivity and its association with cognitive ability: Life-span study. Hum Brain Mapp. 2023 Apr 17;. doi: 10.1002/hbm.26304. PubMed PMID: 37067099.
*Lee S, Choi J, Fang Z, Bowman FD. Longitudinal Canonical Correlation Analysis. J R Stat Soc Ser C Appl Stat. 2023 Jun;72(3):587-607. doi: 10.1093/jrsssc/qlad022
Jiang M, Lee S, O'Malley AJ, Stern Y, Li Z. A novel causal mediation analysis approach for zero-inflated mediators. Stat Med. 2023 Apr 18;. doi: 10.1002/sim.9689. PubMed PMID: 37071977.
Zhu X, Liu Y, Habeck CG, Stern Y, *Lee S, For-The-Alzheimer's-Disease-Neuroimaging-Initiative.Transfer Learning for Cognitive Reserve Quantification. Neuroimage. 2022 Jun 3;:119353. doi: 10.1016/j.neuroimage.2022.119353. [Epub ahead of print] PubMed PMID: 35667639.
Varangis E, Qi W, Stern Y, *Lee S. The role of neural flexibility in cognitive aging. Neuroimage. 2022 Feb 15;247:118784. doi: 10.1016/j.neuroimage.2021.118784. PubMed PMID: 34902547; PubMed Central PMCID: PMC9055953.
*Lee S, Shen H, Truong Y. Sampling Properties of color Independent Component Analysis. J Multivar Anal. 2021 Jan;181. doi: 10.1016/j.jmva.2020.104692. Epub 2020 Oct 22. PubMed PMID: 33162620; PubMed Central PMCID: PMC7641017.
Park H, *Lee S. Logistic regression error-in-covariate models for longitudinal high-dimensional covariates. Stat. 2019;8(1). doi: 10.1002/sta4.246. Epub 2019 Dec 26. PubMed PMID: 33177749; PubMed Central PMCID: PMC7654973.