I am interested in statistics and its applications, especially in problems motivated by biological data. My current project focuses on understanding how intrinsic cellular heterogeneity influences statistical inference for dynamic rates governing intracellular evolutionary processes. This work combines stochastic differential equation–based data simulation, parameter identification for an inverse partial differential equation problem, and the development of an efficient numerical framework integrated into a statistical methodology.
I'm also keen on using statistical tools to analyze data in other areas, such as economics, tourism, education, healthcare...
Publications
Q.H Truong, A.T. Nguyen, Q.A. Trinh, T.N.L Trinh, L. Hens, Hierarchical Variance Analysis: A Quantitative Approach for Relevant Factor Exploration and Confirmation of Perceived Tourism Impacts, International Journal of Environmental Research and Public Health, 17 Apr 2020, https://doi.org/10.3390/ijerph17082786.
Vinh, L. A., Hanh, H. P., Quynh, B. D., Ngoc Lan, T. T., Dien, B. T., Lan, D. D., & Viet Thai, L. (2022). In teaching youths to learn critically: the role of family, formal and non-formal education – findings from a middle-income context. Asia Pacific Journal of Education, 1–16. https://doi.org/10.1080/02188791.2022.2106942.
Projects
Estimating Dynamic rates using Snapshots of Biological cells (in preparation).
Analyzing the Influence of Virtual Care Management on Patient Health Outcomes and Risk Stratifying Chronic Kidney Disease Patients for Stage Degeneration (MPI 2024 at Vermont University).
Contact Information
Mathematics Department
415 Gibson Hall
Tulane University
New Orleans, LA, 70118
ttrinh1@tulane.edu