Our lab develops innovative computational approaches to understand complex biological systems and improve human health. We focus on integrating multi-omics and clinical data with state-of-the-art machine learning to enable earlier diagnosis, personalized treatment, and deeper biological insights. By combining rigorous data science with close collaboration across disciplines, we aim to translate discoveries into real-world impact.
Highlights
Our Research
We develop computational and AI-driven methods to analyze complex biological data, with a focus on cancer early detection and immune-oncology.
Our Projects
We are currently working on cell free DNA (cfDNA)-based liquid biopsy approaches for early cancer diagnosis and computational models to identify tumor-reactive T cells.
Our Team
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