I am a trained bioinformatician with more than a decade of experience working in computational biology. My core research interests are in the area of computational biology, bioinformatics, NGS data analysis, pipeline development and Visualization. I work in conjunction with experimental biologist and am involved in the analysis of genomic, transcriptomic and epigenomic data obtained from next generation sequencer to identify distinct signatures in the case control studies. I also develop distinct workflows and pipelines to enable easy efficient and reproducible data analysis.

Functional Genomics and Transcriptomics: Exploring gene expression dynamics and regulatory mechanisms using RNA-seq and long-read sequencing data, with a focus on disease-associated transcriptomic signatures.
Epigenomic Regulation and DNA Methylation Landscapes: Investigating the role of DNA methylation and miRNA-mediated regulation in cellular differentiation, metabolic disorders, and cancer progression.
ncRNA-Encoded Micro- and Nanopeptides: Discovery and functional annotation of short open reading frames (sORFs) and ncRNA-derived peptides involved in key biological pathways and disease mechanisms.
Integrative Multi-Omics Analysis: Developing strategies for integrating genomics, transcriptomics, and epigenomics data to uncover regulatory networks and molecular drivers of phenotype diversity.
Computational Workflow and Pipeline Development: Designing reproducible, scalable, and modular workflows using Nextflow, nf-core, and containerization technologies for high-throughput omics data processing.
High-Performance Computing and Big Data Optimization: Leveraging SLURM-based HPC environments to accelerate large-scale genomic analyses and optimize computational efficiency for complex biological datasets.

Genomics & Transcriptomics: Comprehensive experience in analyzing large-scale sequencing datasets, including differential expression, variant discovery, isoform quantification, and pathway enrichment.
Epigenomics & Regulatory Biology: Specialized in DNA methylation, miRNA regulation, and integrative analysis of epigenetic modifications to study gene regulation and disease mechanisms.
Micro- and Nanopeptide Discovery: Skilled in computational identification and characterization of novel peptides encoded by non-coding RNAs, with emphasis on their functional and therapeutic potential.
Multi-Omics Data Integration: Proficient in integrating genomics, transcriptomics, and epigenomics datasets for systems-level insights into molecular regulation and phenotype associations.
Pipeline Design & Workflow Automation: Expertise in building scalable, reproducible analysis pipelines using Nextflow, nf-core, and containerization tools (Docker, Singularity) for NGS data analysis.
High-Performance Computing (HPC): Advanced proficiency in SLURM-based computational environments for managing and optimizing large-scale genomic workflows and resource utilization.
Computational Biology Strategy Development: Experienced in conceptualizing and implementing end-to-end analysis strategies tailored to specific biological hypotheses or disease models.