About me

I’m Linh Do, a Postdoctoral Associate in the Department of Biostatistics & Bioinformatics at Duke University and a member of the Center for Multiscale Immune Systems Modeling (MISM). I earned my Ph.D. in Mathematics from Tulane University, where I was advised by Professor Scott A. McKinley.

My research focuses on statistical and mechanistic modeling of complex biological systems, with particular emphasis on viral dynamics, host–pathogen interactions, and immune response dynamics. I develop change-point detection methods, hierarchical mixture models, and stochastic modeling frameworks for analyzing high-dimensional time series and imaging data.

My current work integrates data-driven statistical inference with mechanistic ODE and continuous-time Markov chain (CTMC) models to study within-host viral dynamics (e.g., SARS-CoV-2, influenza, HIV) and to link individual-level immune heterogeneity to transmission and epidemic dynamics on contact networks.

Research Interests

• Statistical & Mechanistic Modeling

• Viral Dynamics & Immune Response Modeling

• Change-Point Analysis

• Bayesian & Hierarchical Models

• Stochastic Processes