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More detailed growth models using inference.

Dissecting systems serology with a tensor factorization

Study Fc antibody dynamics using a multivalent binding model

A binding-reaction model for the common gamma chain receptor cytokines.

This is to show oscillations in the number of cells in G1 and in G2 phase of cell cycle.

A Multivalent Binding Model for FcgRs

The structure is the message: preserving experimental context through tensor decomposition

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Trafficking model of FcRn to explain the effects of failed release at the cell surface.

Clusters phosphoproteomics data by sequence and abundance dynamics

Inferring antibody species from systems serology with a mechanistic binding model.

R code for “Hierarchical Bayesian modeling of heterogeneous outcome variance in cluster randomized trials” by Guangyu Tong, Jiaqi Tong, Yi Jiang, Denise Esserman, Michael O. Harhay, and Joshua L. Warren. Clinical Trials (2024), 21(4):451–460.

R package for “Model-Robust Standardization in Cluster-Randomized Trials” by Fan Li, Jiaqi Tong, Xi Fang, Chao Cheng, Brennan C. Kahan, and Bingkai Wang. Statistics in Medicine (2025), 44(20–22):e70270.

R package for “Semiparametric Principal Stratification Analysis Beyond Monotonicity” by Jiaqi Tong, Brennan Kahan, Michael O. Harhay, and Fan Li. Statistica Sinica, in press.

R code to model and visualize sweat sodium loss across temperature and humidity conditions for passive vs. active interventions.

Reproducible analysis for between-visit cerebrovascular and cardiovascular responses during the cold pressor test

A modeling perspective on cell selective ligands

A multi-omic view of MRSA infection using tensor factorization

R package for sample size and power in three-level and stepped-wedge cluster randomized trials. Companion to papers by Fan Li et al. in Biostatistics (2023) and Statistics in Medicine (2024).