Dr. Vu is an assistant professor - research in the Department of Biostatistics & Informatics and a faculty member in the Center for Innovative Design & Analysis. Dr. Vu has been involved in multiple collaborative research projects focusing on developing novel statistical approaches for analyzing multi-omic and spatially resolved single-cell imaging data.
Areas of Expertise
- High-dimensional data
- Multiomic analysis
- Network analysis
- Imaging data
- Spatial analysis
Education, Licensure & Certifications
- PhD, Statistics, University of Nebraska-Lincoln, 2020
- MS, Statistics, University of Nebraska-Lincoln, 2017
Publications and Presentations
- Vu, T., Seal, S., Ghosh, T., Ahmadian, M., Wrobel, J., & Ghosh, D. (2023). FunSpace: A functional and spatial analytic approach to cell imaging data using entropy measures. PLOS Computational Biology, 19(9), e1011490
- Vu, T., Litkowski, E. M., Liu, W., Pratte, K. A., Lange, L., Bowler, R. P., ... & Kechris, K. J. (2023). NetSHy: network summarization via a hybrid approach leveraging topological properties. Bioinformatics, 39(1), btac818
- Vu, T., Wrobel, J., Bitler, B. G., Schenk, E. L., Jordan, K. R., & Ghosh, D. (2022). SPF: a spatial and functional data analytic approach to cell imaging data. PLoS Computational Biology, 18(6), e1009486
- Vu, T., Xu, Y., Qiu, Y., & Powers, R. (2023). Shifting-corrected regularized regression for 1 H NMR metabolomics identification and quantification. Biostatistics, 24(1), 140-160
- F. Bhinderwala, T. Vu, T. Smith, J. Losacki, D. Marshal, Y. Xu, M. Morton, R. Powers (2022). Leveraging the HMBC to Facilitate Metabolite Identification. Analytical Chemistry, 94 (47), 16308-16318, PMID: 3637452.