Integrative Computational Genomics

We combine single-cell, spatial omics, and machine learning to decode disease mechanisms and accelerate precision medicine.

我们结合单细胞组学、空间组学与机器学习，解析疾病机制并推动精准医学转化。

Research focus

Research Directions

Algorithm innovation × biomedical translation

We reconstruct lineage trajectories and disease-associated microenvironments from high-dimensional single-cell and spatial datasets.

single-cellspatialtrajectory

We develop robust machine learning models for diagnosis, prognosis, and treatment-response prediction with clinical interpretability.

AIclinicalprediction

We connect transcriptome, epigenome, and proteome with interpretable computational frameworks to uncover disease mechanisms.

networkmulti-omicsmechanism

Data-rich, method-driven, clinically oriented

Single-cell + Spatial

Core data modalities

AI + Statistics

Methodological engine

Bench to Bedside

Translational focus

Our CAPTAIN paper has been published in Nature Communications, congrats to Tingting and Jiawen.

We are delighted to share that our recent work has been published in npj Digital Medicine, BMC Medicine, and BIBM.

Lab BBQ!