My name is Nam V. Nguyen
At the intersection of computational biology and data science, I help uncover patterns hidden within complex biological data — transforming raw information into meaningful insight that fuels impactful research and decision-making.
PhD in Computational Biologist - AI/ML
"Hello, World!"
Through the applied power of AI and shared biological insight, we can empower researchers and innovators to deepen understanding and accelerate breakthroughs in personalized medicine and the life sciences.
"Advancing human health through the collective power of AI and collaborative discoveries in biology"
About Me
I'm a computational biologist with a passion for decoding complex biological systems using data science, AI, and machine learning. My academic foundation comes from a Ph.D. in Biomedical Sciences from UC Irvine. Recently, I have worked for Genentech as a Computational Scientist at Genentech, where I support cancer oncology research. My past work spans from building robust bioinformatics pipelines to mining clinical and omics datasets for actionable insights, especially in oncology and muscular dystrophy.
I specialize in next-generation sequencing (NGS) data, including bulk and single-cell RNA-seq, ATAC-seq, and ChIP-seq. I'm fluent in Python, R, and a range of tools such as Seurat, Scanpy, and PyTorch Geometric. Recently, I’ve been integrating large language models and graph neural networks to explore unstructured data, social behavior, and molecular biology from new angles.
Outside of research, I enjoy weight lifting, video gaming, and exploring the intersection of technology, spirituality, and ancient history. Whether I’m visualizing biological pathways or experimenting with AI to analyze complex process/phenomenon, I’m always looking for elegant ways to connect systems and ideas.
This site is a hub for my ongoing work, open-source projects, and thoughts at the frontier of computational biology and AI.
Computational Biologist
Research
I have several years of experience in computational biology and next-generation sequencing (NGS) technologies, gained through my involvement in diverse, high-impact research projects. I specialize in a wide range of sequencing data analyses and have a solid foundation in applying machine learning algorithms to uncover biological insights.
Publications
Engineered FSHD mutations results in D4Z4 heterochromatin disruption and feedforward DUX4 network activation. iScience. (2024)
*N. V. Nguyen, *X. Kong, Y. Li, J. S. Sakr, K. Williams, S. Sharifi, J. Chau, A. Bayrakci, S. Mizuno, S. Takahashi, T. Kiyono, R. Tawil, A. Mortazavi, K. Yokomori
J. Chau, X. Kong, N. Viet Nguyen, K. Williams, M. Ball, R. Tawil, T. Kiyono, A. Mortazavi, K. Yokomori
Single-nucleus RNA-seq identifies divergent populations of FSHD2 myotube nuclei. PLoS Genet. 16, 1–26. (2020)
S. Jiang, K. Williams, X. Kong, W. Zeng, N. V. Nguyen, X. Ma, R. Tawil, K. Yokomori, A. Mortazavi
HIV blocks Type I IFN signaling through disruption of STAT1 phosphorylation. Innate immunity, 24(8),490–500 (2018)
Nguyen, N. V., Tran, J. T., & Sanchez, D. J
Stimulation of IL-16 Release by Cells Exposed to HIV Virion Proteins. J Immunol Infect Dis 6(1): 101. (2019)
Houghton JS, Nguyen H, Casillas P, Dizon TMA, Nguyen NV, Miranda D Jr, and Sanchez DJ.
Relationship of DUX4 and target gene expression in FSHD myocytes. Hum Mutat. 42, 421-433. (2021)
Services
NGS Data Analysis
Quality Control, raw data processing, data analysis
Application of AI/ML in Big Data
Apply machine learning, algorithms, statistical methods to understand the data
Data Visualization and Intepretation
Transforming complex datasets into meaningful visuals to enable deeper insight
Contact me
Whether you have a request, a query, or want to work with me, use the form below to get in touch
