Thanh Nguyen, Ph.D.

EDUCATION

POSITION

BIO

      Dr. Nguyen is a postdoc trainee at the Department of Biomedical Engineering, the University of Alabama at Birmingham (UAB). His expertise includes developing Artificial Intelligence (AI) theories, applying AI – visual analytics in BioHealth Informatics, building Bioinformatics databases, and Bioinformatics application in cardiovascular science. At Purdue University, he built the ‘Selective Decentralization’, which was a collection of methods, theoretical analysis, and simulations for multiple AI agents to coordinate in solving large-scaled Adaptive Control / Reinforcement Learning problems. Applying AI techniques in Computational Biology, he built DeCoST, an AI-based simulation technique to predict cancer-specific drug efficacy. At UAB Informatics Institute, he developed the Clinotype Prediction and Association-finding (CPA) framework, which linked disease-phenotypes, genotypes, and clinical lab test results to help to identify high-risk cohorts. Besides, he built Polar Gini Curve, a new Bioinformatics technique to analyze single-cell transcriptomic data. He also contributed to the construction of bioinformatics databases: HAPPI (v.2.0), DMAP and PAGER (v.1.0) as the data analyst. In Health Informatics, he served as the data analyst and database engineer (trainee) in HealthTerrain, a visual analytic system for large-scale medical records. At UAB Dept. of Biomedical Engineering, he continue applying AI to solve Cardiovascular research problems, including identifying master regulators for neonatal pig heart development, cardiomyocyte proliferative response to injury, and analyzing Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes data.

        View Dr. Nguyen’s Resume here.

TEACHING

– Artificial Intelligence and Machine Learning Application in Biomedical Engineering.
– Living System and Biostatistics.

SELECTED PUBLICATIONS

1. Nguyen, T.M., Jeevan, J.J., Xu, N. and Chen, J.Y., 2021. Polar Gini Curve: a technique to discover gene expression spatial patterns from single-cell RNA-seq data. Genomics, Proteomics & Bioinformatics, 19(3), pp.493-503.
2. Nguyen, T., Zhang, T., Fox, G., Zeng, S., Cao, N., Pan, C., & Chen, J. Y. Linking clinotypes to phenotypes and genotypes from laboratory test results in comprehensive physical exams. BMC medical informatics and decision making, 21(3), 1-12, 2021.
3. Nguyen, T.M., Wei, Y., Nakada, Y., Zhou, Y. and Zhang, J., Cardiomyocyte cell-cycle regulation in neonatal large mammals: Single Nucleus RNA-sequencing Data analysis via an Artificial-intelligence–based pipeline. Frontiers in Bioengineering and Biotechnology, p.972.
4. Nakada, Y., Zhou, Y., Gong, W., Zhang, E.Y., Skie, E., Nguyen, T., Wei, Y., Zhao, M., Chen, W., Sun, J. and Raza, S.N., 2022. Single Nucleus Transcriptomics: Apical Resection in Newborn Pigs Extends the Time Window of Cardiomyocyte Proliferation and Myocardial Regeneration. Circulation, 145(23), pp.1744-1747.
5. Zhao, M., Nakada, Y., Wei, Y., Bian, W., Chu, Y., Borovjagin, A., Xie, M., Zhu, W., Nguyen, T., Zhou, Y., Serpooshan, V., Walcott, G.P, Zhang, J., Cyclin D2 overexpression enhances the efficacy of human induced pluripotent stem cell-derived cardiomyocytes for myocardial repair in a swine model of myocardial infarction. Circulation, May 2021.