Lab Research Areas: 

• Computational Systems & Network Biology

• Omics data analysis & bioinformatics

• Metabolism & gene regulation

• Mathematical, statistical modelling and machine learning

• Parasitology and immunology

Broad Theme areas:

• Big Data Biology: Omics to function

• Biology of Diseases and Disorders  

Specific interests: 

Our group is interested in asking questions that facilitate the understanding of design principles of various biological systems. We employ various computational techniques including constraint-based genome-scale modeling, graph theory, condition-specific statistical inference of biological networks and machine learning applications to discover new molecular/pathway mechanisms from raw biological data. As discovering molecular pathway mechanisms is the main goal of our lab, we heavily rely on integrating 'omics' data into various biological networks namely metabolism, gene regulation and protein-protein interaction networks. We are specifically interested in projects related to condition-specific metabolic adaptations of organisms, interspecies interactions during infection and disease-specific changes in immunometabolism.