National Taiwan University CSIE

Computational Systems Biology

Research at the intersection of machine learning, network science, and large-scale biological data.

News & Topics

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2026-08-01
Hsuan-Cheng Huang joins National Taiwan University as Professor in the Department of Computer Science and Information Engineering.
2025-11-08
Best Poster Awards (Guan-Ting Chen, Ching-Ya Lin, and H.-S. Yang) at the 2025 Multiomics and Precision Medicine Joint Conference, Taipei.
2025-08-01
New NSTC project begins: “Spatially-Informed Single-Cell Network Biology — A Multimodal Computational Framework for Drug Discovery and Cell Fate Engineering” (August 2025 – July 2028).
2025-05-02
Best Poster Award (H.-M. Tseng) at the 2025 International Symposium on Evolutionary Genomics and Bioinformatics (ISEGB2025), Tainan.
2025-03-22
Best Poster Award (P.-Y. Chen) at the 39th Joint Annual Conference of Biomedical Sciences, Taipei.

Research Highlights

Single-cell & Spatial Omics

Computational methods for high-dimensional biological data, from cell-state trajectories and gene regulatory dynamics to spatially resolved and mass spectrometry-based omics.

AI Virtual Cell

Learning predictive models of cellular state that simulate how cells respond to drug and genetic perturbations, turning single-cell atlases into in silico experiments.

Computational Drug Discovery

Predicting drug responses and repurposing candidates by coupling single-cell transcriptomics with molecular structure, docking, and network-based learning.

Cancer Systems Biology

Multi-omics integration and network analysis to dissect tumor heterogeneity, resistance, and therapeutic vulnerabilities in cancer and other human diseases.

Quantum Intelligence for Biological Discovery Emerging

Quantum machine learning for modern omics, as fault-tolerant quantum computing comes within reach. Recent theory demonstrates exponential advantages in classification and dimensionality reduction, including single-cell RNA analysis and compound screening for drug discovery.