2026.04: Our VN1K work was featured in a technical discussion by Thanh-Giang Tan Nguyen on how countries can build population-scale genome resources, with VN1K presented as an example of a Vietnamese genomics initiative supporting national precision medicine and population-specific genomic research.
2026.03: Our FedWQ-CP work was featured in Martin Rodek's The Research Gap newsletter as a practical approach for federated uncertainty quantification, highlighting its one-shot calibration design for privacy-constrained deployments with heterogeneous data and models.
2025.06: The video uses findings from VN1K to reveal Vietnam's complex genetic history, which has long been underrepresented in global DNA studies. The project uncovered 8.5 million genetic variants, many previously unknown. Its findings show that Vietnamese ancestry is not linear, but layered through migration, mixture, and cultural resilience. Ancient hunter-gatherers lived in Vietnam around 40,000 years ago but left little direct genetic legacy. Around 4,000 years ago, farmers from the Yangtze River basin moved south, bringing rice agriculture and Austroasiatic languages while mixing with local groups. Later, Chinese imperial expansion added paternal genetic influence, including markers such as OM17. The Dong Son period around 500 BCE reflected population growth, maternal lineage diversity, and cultural flourishing. VN1K also shows that language, culture, and genetics do not always move together. Some minority groups preserve distinct ancient genetic signatures, while Western-based medical data may not fully fit Vietnamese populations. Overall, VN1K reframes Vietnamese identity as a layered inheritance of migration, memory, biology, myth, and unresolved mystery.
2021.12: This video covers the December 16, 2021 announcement of the completion of VN1K's Vietnamese genome sequencing effort. This marks an important milestone for genomics, precision medicine, and healthcare in Vietnam. The project provides local genetic data that can improve disease screening, early diagnosis, treatment, and drug-response prediction for Vietnamese patients, instead of relying mainly on foreign databases. Its data may also support research in anthropology, AI, big data, and virus genome monitoring such as COVID-19. Although 1,000 genomes is only a starting point, the project lays the foundation for larger genomic studies, personalized medicine, and stronger international collaboration in the future. It features remarks from international experts including Prof. Chi Van Dang (2:02), Prof. Ron Shamir (4:12), Prof. Robert C. Green (6:07), Prof. George P. Patrinos (6:52), and Michael Winther (9:33).