We analyze large-scale omics datasets using advanced machine learning to decipher the modular organization of cellular networks and uncover the principles that govern complex biological systems.
Keywords: Omics biology, Next generation sequencing (NGS), Machine learning
Synthetic Biology
We apply data-driven design strategies to engineer novel biological functions, transfer cellular traits across species, and construct robust microbial platforms with new or enhanced capabilities.
Integrating systems-level insights with synthetic biology tools, we design, build, and optimize living systems for diverse applications, including bioremediation, production of valuable biomolecules, precision medicine, and high-throughput drug screening.
Research highlight: Using Bacteria as Living Test Tubes to Study Human Gene Mutations and Find New Drug Leads