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My research focuses on developing and applying statistical and bioinformatics methods for molecular biology and medicine. I am interested in methodologies to analyze single cell data, discover fusion genes, circular RNAs, and driver genes from cancer, quantify isoform and gene expression from transcriptomics and metagenomics, predict drug responses and drug repurposing using pharmacogenomics data.

Further details can be read at the webpage of my research group: /en/research/research-areas-centres-and-networks/research-groups/trung-nghia-vus-research-group

Our group has developed 20 statistical and bioinformatics/statistical tools which are mostly published in a peer-reviewed scientific articles and publicly available for academic use. Most of tools are implemented using R, Rshiny, C/C++ and available at the Biostat Wiki  webpage ()

Our research is supported by the Swedish Research Council, CancerFonden, and ̽����ѡ

SUPERVISION

To defense

- Quang Thinh Trac (PhD student, KI, main supervisor, completed Oct 2024)

- Lu Pan (PhD student, KI, main supervisor, completed Mar 2023)

- Wenjiang Deng (PhD student, KI, co-supervisor, completed Sep 2021)

- Thanh Dat Nguyen (master student, Tel-Aviv University, thesis supervisor, completed 2020)

Ongoing

- Gulser Caliskan (postdoc, KI, main supervisor, since 2023)

- Meghana Alugunoolla (master student, Upsala University, main supervisor, since 2024)

- Yuying Li (PhD student, KI, co-supervisor, since 2021)

- Aron Arzoomand (PhD student, KI, co-supervisor, since 2021)

TEACHING

- Master course “Biostatistics” in the Master of Molecular Techniques, KI, Sweden (2023 & 2024)

- Doctoral course “Introduction to R for data analysis”, KI, Sweden (2025)