2026 Summer Intern, Research Project 3, MISM
PhD Student, Department of Mathematics, Tulane University
Lan Trinh is a Ph.D. candidate in the Department of Mathematics at Tulane University. Her research lies at the intersection of mathematical modeling, statistical methodology, and biological applications. She is particularly interested in developing quantitative frameworks that integrate mathematical theory, statistical inference, and scientific data to better understand complex biological systems.
Her doctoral research focuses on the identifiability and asymptotic statistical properties of dynamic rates governing particle movement within biological cells. Using snapshot data, she investigates how underlying biological mechanisms can be inferred from limited observations, combining tools from stochastic modeling, statistical inference, and applied mathematics.
Her methodological interests include statistical inference, spatial point processes, partial differential equations, numerical computation, and physics-informed neural networks (PINNs). She is currently involved in research at MISM, where she develops probabilistic models for individual movement trajectories and constructs dynamic contact networks to study disease transmission within communities. This work aims to bridge individual-level mobility patterns and population-level epidemiological dynamics.