Nam Sy Vo, PhD.

Nam Sy Vo, PhD
Chief Scientist & CTO & Co-Founder, GeneStory JSC
Director of Precision Medicine Division, VinUni Big Data Research Institute

📞 1800 888 680

🪪 LinkedIn | GitHub

📧 nam@genestory.ai | nam.vs@vinuni.edu.vn

🌐 https://genestory.ai; https://vingen.vinbigdata.org

🏢 9th floor, Century Tower, Times City, 458 Minh Khai, Hanoi, Vietnam

Publications & Patents

Media

Professional Activities

Research Interests

Multi-omics Data Analysis and Interpretation
Data Science/Machine Learning in Biomedicine
High Performance Computing in Genomics

Product Development

Genetic Testing for Disease Risk Prediction, Drug-Drug-Gene Interaction
Platform for Data Science and AI in Biomedicine
DNA profiling for Human Identification

Experiences

Chief Scientific & Technology Officer & Co-Founder, GeneStory JSC (2022–present)
Director of Precision Medicine Division, VinUni Big Data Research Institute (2025-present)
Director of Biomedical Informatics Center, Vingroup Big Data Institute (2019–present)
Senior Bioinformatics Scientist, University of Chicago (2017–2019)
Postdoctoral Fellow, MD Anderson Cancer Center (2016–2017)

Projects

VN1K: 1000 Vietnamese Genomes Project
MASH: Management, Analysis, Sharing, and Harmonization of Large-scale Biomedical Data
VGR: Construction of Vietnamese-specific Pangenome Reference
VGC: Design of Vietnamese-specific Genotyping Chip
VGP: Vietnamese Genome-based Prediction of Disease Risks
ADR: Preventing Adverse Drug Reactions using Pharmacogenomics
AMR: Fighting Antimicrobial Resistance using Sequencing Data and Big Data Analytics

➡ Detail on VinGen

Publications & Patents

➡ Full list on Google Scholar

Media

Professional Activities

• Reviews:

• Journal reviews: Nature Methods, Nature Communications, Bioinformatics, Briefings in Bioinformatics, Scientific Reports, Frontiers in Oncology, BMC Bioinformatics, BMC Medical Genomics.

• Conference reviews: RECOMB, RECOMB-CBB, AICoB, BIBM, KSE.

• Panel reviews: Vingroup Innovation Foundation (VINIF), National Foundation for Science and Technology Development (NAFOSTED).

• Program committee: IEEE International Conference on Knowledge and Systems Engineering (KSE), Genomic Medicine Conference (GMC).

• Invited talks:

• Integrated Multi-omics Risk Scores for Common Diseases in the Vietnamese Population. Thermo Fisher SwiftArrayStudio VVIP Launch Event, Singapore, 02/2026.

• Integrating polygenic and transcriptional risk scores improves risk prediction of nine common diseases in the Vietnamese population. KIT-ASEAN Joint Seminar, Hanoi, Vietnam, 12/2025.

• AI & Big Data for Vietnam Genome Program. AVSE Global-Summit, Hanoi, Vietnam, 07/2025.

• Vietnam Genome Program: Current Results & Challenges. PacBio PRISM, Danang, Vietnam, 04/2025.

• Mathematical Methods for Big Data Analysis in Vietnam Genome Program. VIASM Spring School on recent advances in bioinformatics and statistical genetics, Hanoi, Vietnam, 03/2025.

• Research, Development, and Applications of AI in Medicine in Vietnam. Vietnam AI Forum, Hanoi, Vietnam, 12/2024.

• Functional-based analysis of multi-omics data in Vietnam Genome Program. Vietnam School of Biology, Quy Nhon, Vietnam, 12/2024.

• New Technologies in Medicine. MOST KC Conference, Ho Chi Minh City, Vietnam, 09/2024.

• Research and Development Activities at GeneStory: Current Status and Vision. UK-VN multi-disciplinary network in healthcare innovation, Hanoi, Vietnam, 03/2024.

• Decoding Human Genomes at Scale: Data Science and Machine Learning Approaches. International Conference on Health Science and Technology, Hanoi, Vietnam, 12/2023.

• Vietnamese Genomes at Population Scale: Vision and Solutions. National Conference of Biotechnology, Hanoi, Vietnam, 10/2023.

• Data Science in Life Sciences: The 1000 Vietnamese Genomes Project. Japan-Vietnam Bilateral Symposium on Science and Engineering for Space and the Earth, Hanoi, Vietnam, 10/2023.

• Polygenic Risk Score Estimation using SNP Arrays in Diverse Populations Lessons from Vietnam Genome Program. ThermoFisher Scientific Predictive Genomics Symposium, Bangkok, Thailand, 09/2023.

• Machine Learning for the Understanding of the Human Genome. IMH-VAST Spring Research School, Hanoi, Vietnam, 02/2023.

• Sequencing Vietnamese Genomes at Scale: Opportunities & Challenges. IBSG Seminar, Hanoi, Vietnam, 07/2022.

• Decoding DNA how graph theory can help? Intl. Day of Math Mathematics Unites, Hanoi, Vietnam, 03/2022.

• Data Science Approaches to Decoding Genomes at Scale. HUST-SoICT & VinBigdata Workshop on DS&AI, Hanoi, Vietnam, 03/ 2022.

• Population-specific Risk Prediction Models: Experiences from the 1000 Vietnamese Genomes Project. AIxImpact Southeast Asia Conference, 02/2022.

• Genomic Sequencing in Clinical Practice. Vinmec Conference in Genetics and Cell Technology, Hanoi, Vietnam, 01/2022.

• Sequencing Vietnamese Genomes at Scale: Towards Precision Medicine in Viet Nam. Human Cell Atlas Asia Meeting, 11/2021.

• Vietnamese Genome Sequencing in the Era of Data Science and Artificial Intelligence. Vietnam Science & Technology Day, Hanoi, Vietnam, 06/2021.

• Big Data for Precision Medicine. FAIR Conference, Nha Trang University, Nha Trang, Vietnam, 08/2020.

• Genomic Big Data: What can we do? National University of Civil Engineering, Hanoi, Vietnam, 11/2019.

• Mathematical Methods for the Understanding of the Human Genome. International Graduate Summer School in Mathematics, Hanoi, Vietnam, 08/2019.

• Mathematical Methods for the Understanding of the Human Genome. VN-USA Joint Mathematical Meeting, Quy Nhon, Vietnam, 06/2019.

• Predicting Response to Cancer Immunotherapy: Big Data Approaches. Genomic Medicine Conference, Hanoi, Vietnam, 06/2019.

• Towards a Software Platform for Big Data in Biomedical Research. Vingroup Institute of Big Data, Hanoi, Vietnam, 12/2018.

• NCI’s Genomic Data Commons: Research and Development, Vinmec Research Institute of Stem Cell and Gene Technology, Hanoi, Vietnam, 09/2018.

• Genomic Variant Analysis for Computational Immunogenomics, Vinmec Research Institute of Stem Cell and Gene Technology, Hanoi, Vietnam, 07/2017.

• Neoantigen Predictions from Splice-creating Mutations. TCGA PanCanAtlas Fusion/Splicing Working Group, USA, 10/2017.

• From Genomic Variant Analysis to Computational Immunogenomics. The University of Chicago, Chicago, USA, 09/2017.

• Genomic Variant Analysis for Cancer Immunogenomics. The New York Genome Center, New York, USA, 09/2017.

• Neoantigen Predictions from InDels, TCGA PanCanAtlas Immune Response Working Group, USA, 04/2017.

• Computational Methods for Genomic Variant and Gene Expression Analysis, The University of Texas MD Anderson Cancer Center, Houston, USA, 06/2016.

• Oral/poster presentations:

• Leveraging Known Genomic Variants to Improve Variant Detection. ISMB, poster presentation, 07/2019.

• Somatic Variant Detection from Tumor-only Samples. ISMB, poster presentation, 07/2018.

• Improving Variant Calling by Incorporating Known Genetic Variants into Read Alignment, MCBIOS, poster presentation, 03/2015.

• Predicting True Patterns of Gene Response to Treatments in Expression Analysis using Pairwise Comparisons. MCBIOS, selected oral presentation, 03/2014.

• Using Partially Ordered Sets to Represent and Predict True Patterns of Gene Response to Treatments, UT-ORNL-KBRIN Summit, selected oral presentation, 03/2013.

• Predicting Possible Directed-graph Patterns of Gene Expressions in Studies Involving Multiple Treatments, ACM-BCB, poster presentation, 10/2012.

• Pattern Analysis: A Web-based Tool for Analyzing Response Patterns in Low-replication, Many-treatment Gene Expression Data, ACM-BCB, poster presentation, 10/2012.