
Senior Bioinformatics Analyst
Suchanda Dey
Genomics
About me
Bioinformatics/Data Science professional with a PhD in Microbial Genomics, experienced in NGS analysis, pan-genomics, transcriptomics, and computational biology. Skilled in Linux, Bash, R, and Python, I develop reproducible pipelines and apply statistical and AI-driven methods to analyze large-scale omics data. My work focuses on microbial pathogenesis, AMR, and in silico drug discovery, aiming to drive impactful genomics research and innovation.
Interests: My research interests lie in microbial genomics, antimicrobial resistance (AMR), and computational biology, with a focus on understanding pathogen evolution, virulence mechanisms, and host–pathogen interactions using next-generation sequencing (NGS) data. I am particularly interested in integrating multi-omics approaches (genomics, transcriptomics, and proteomics) with AI/ML techniques to uncover molecular mechanisms and identify potential therapeutic targets. I also aim to develop scalable, reproducible bioinformatics pipelines that translate complex biological data into clinically and biologically meaningful insights.

