Mechanism to therapy
From biological signal to clinically actionable hypothesis.
NEXGEM
Next Generation Medicine Lab
NEXGEM develops computational and experimental strategies that connect biological big data with clinically meaningful cancer treatment decisions.
We build data-driven models that connect molecular mechanisms with clinical decision making.
Our work spans synthetic lethality, tumor microenvironment analysis, pathology-integrated modeling, and translational frameworks for precision oncology.
Multimodal data integration
Joint analysis of omics, pathology, and patient-scale evidence.
Translational focus
Designed to support real-world oncology questions and collaborations.
Research Focus
Three themes shaping our work
Our lab is organized around questions that move from biological mechanism to clinically actionable insight.
Synthetic lethality
- Identify targetable genetic interactions in cancer
- Guide rational combination therapy design
- Support precision treatment strategies
Spatial omics and pathology
- Integrate histopathology with spatial omics
- Map tumor ecosystems with higher resolution
- Connect tissue structure to molecular context
Translational AI
- Model patient-scale molecular and clinical data
- Translate data science into therapeutic insight
- Bridge computational discovery and oncology practice
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Latest Updates
Recent stories from the lab
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Interested in collaboration or learning more?
We welcome opportunities to connect around computational oncology, cancer biology, and translational data science.