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Experience in genome-scale metabolic modeling and amplicon-based 16srRNA analysis.
In my post-doctoral research period, I performed meta-analysis on amplicon sequencing data to identify potential biomarkers related to disease in Pacific white shrimp. Additionally, I have combined this information with genome-scale metabolic modeling to better understand the interactions between healthy and diseased species. I employed a constraint-based approach to generate metabolic models and conducted simulations of both pairwise and community interactions between pathogenic and probiotic species.
This eventually led to the prediction of important probiotic species for aquaculture.
Further, my research work focussed on the diversity of strains of Bifidobacterium, a prevalent gut bacterium, by applying constraint-based techniques. I honed my programming skills during this role, particularly in MATLAB and the Constraint-Based Reconstruction and Analysis Toolbox.
During my Ph.D. studies, I honed my research abilities in the kinetic simulation of signaling pathways using computational methods. My work involved using the LINUX operating environment and basic shell scripting for tasks such as optimization, fine-tuning, and sensitivity analysis to validate experimental results and assess the reliability of the network.
