Research Project: A Bayesian Cognitive Change Method for Censored Longitudinal Data
Research Project: An Bayesian-based RNN Method for MNAR/MAR + left-censored longitudinal
Research Project: Nonlinear Mixed Effect model for Alzheimer’s Disease Biomarker
Research project: Comparative Analysis of ML Models for Unemployment Prediction
Collaboration: Translational Medical Research collaboration
Manuscript: A Reliable Change Estimation Method for Severely Cognitively Impaired Populations
Manuscript: Longitudinal miRNA Profiles in Breast Cancer Tissue and Plasma: Associations with Hormone Receptors, Response, and Survival.
Related Story
2021: Undergraduate time-series coursework sparked my interest in time-dependent data, particularly in estimation under temporal dependence.
2022: Dr. Colin Cameron mentored my first independent research on applying machine learning to time-series prediction. Beyond technical skills, his rigor and passion for research deeply shaped my academic mindset.
2024-2025: Dr. Ani Eloyan introduced me to biostatistical research in Alzheimer’s disease and guided me into longitudinal data analysis. I am grateful for her trust and support in allowing me to lead two projects, through which I developed Bayesian integration methods for handling censored and missing data and further extended a Bayesian-based RNN to simultaneously address both challenges in EOAD longitudinal datasets.
---title: "Longitudinal Data" categories: [Longitudinal Data, Missing Data, Random Effects, Nonlinearity, Heterogeneity, Survival Analysis]author: ""date: ""image: 1.pngcitation: true---## Interest KeywordsMNAR Missing Data, Censored Data, Nonlinearity, survival analysis, Alzheimer's Disease## Related Experience- **Research Project**: A Bayesian Cognitive Change Method for Censored Longitudinal Data- **Research Project**: An Bayesian-based RNN Method for MNAR/MAR + left-censored longitudinal- **Research Project**: Nonlinear Mixed Effect model for Alzheimer's Disease Biomarker- **Research project**: Comparative Analysis of ML Models for Unemployment Prediction- **Collaboration**: Translational Medical Research collaboration- **Manuscript**: A Reliable Change Estimation Method for Severely Cognitively Impaired Populations- **Manuscript**: Longitudinal miRNA Profiles in Breast Cancer Tissue and Plasma: Associations with Hormone Receptors, Response, and Survival.## Related Story- **2021**: Undergraduate time-series coursework sparked my interest in time-dependent data, particularly in estimation under temporal dependence.- **2022**: Dr. Colin Cameron mentored my first independent research on applying machine learning to time-series prediction. Beyond technical skills, his rigor and passion for research deeply shaped my academic mindset.- **2024-2025**: Dr. Ani Eloyan introduced me to biostatistical research in Alzheimer's disease and guided me into longitudinal data analysis. I am grateful for her trust and support in allowing me to lead two projects, through which I developed Bayesian integration methods for handling censored and missing data and further extended a Bayesian-based RNN to simultaneously address both challenges in EOAD longitudinal datasets.