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Invited Paper Session

Frontiers in Statistics and Machine Learning for Decoding Aging Mechanisms

Wed, Aug 5, 2:00 PM - 3:50 PM Room CC-210A Thomas M. Menino Convention & Exhibition Center

Tianying WangOrganizerTianying WangChair

ENAR co: Section on Statistics in Genomics and Geneticsco: Biometrics Section Applied

4 Presentations

Contextualizing molecular and structural aging across human organs

3:20 PM - 3:45 PM

Jiawen Chen (University of Pennsylvania)

Dissecting molecular mechanisms of Alzheimer's disease through data integration

2:05 PM - 2:30 PM

Hongyu Zhao (Yale University)

statistical genomics data integration high dimensional data aging research computational biology Alzheimer's disease

Machine learning approaches to measure, model, and target aging

2:55 PM - 3:20 PM

Eric Sun (Massachusetts Institute of Technology)

Aging Machine learning Single-cell transcriptomics Spatial transcriptomics

Modeling Time-Varying and Heterogeneous Effects in Aging-Related Outcomes via Quantile Regression with Multi-Outcome Latent Groups

2:30 PM - 2:55 PM

Ying Wei (Columbia University)

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