Mohana R.

I am a Bioinformatics Scientist and Computational Biologist with a PhD and 12+ years of combined academic research and professional experience across genomics, bioinformatics, cancer genomics, statistical genetics, population genomics, transcriptomics, microbiome research, NGS analysis, machine learning, and computational workflow development. I help researchers, biotechnology teams, and other clients design and execute rigorous computational analyses, troubleshoot complex genomic datasets, develop reproducible workflows, and translate results into biologically meaningful conclusions. Areas I work in: • WGS/WES & Variant Analysis – QC, alignment, GATK/HaplotypeCaller, variant calling, annotation, benchmarking and interpretation • RNA-seq & Transcriptomics – QC, alignment, differential expression, DESeq2/edgeR/limma, pathway and functional enrichment • Statistical Genetics – GWAS/eQTL harmonisation, Mendelian Randomization, reverse MR, MVMR, mediation and sensitivity analyses • Population Genomics – PCA, IBD, ancestry, haplotype/segment analysis and population-reference integration • Cancer Genomics & Multi-Omics – somatic mutation analysis, immune/biomarker analysis and integration of genomic, transcriptomic and clinical datasets • Bioinformatics Pipelines & Software – reproducible Python/R/Linux workflows, CLI tools, automated benchmarking, Nextflow, Docker, Git/GitHub and cloud computing • Machine Learning for Genomics – feature extraction, predictive modelling, classification/configuration selection and evaluation Recent projects include developing an automated GATK parameter-selection workflow for short-read WGS; designing causal-inference workflows integrating microbiome GWAS, disease GWAS and eQTL datasets; and developing population-genetics workflows for ancestry and haplotype analysis. Tools: R, Python, Linux/Bash, GATK, BWA, HISAT2, SAMtools, bcftools, PLINK, VEP, ANNOVAR, DESeq2, edgeR, limma, ggplot2, pandas, scikit-learn, Nextflow, Docker, Git/GitHub, Google Cloud, AWS, Google Colab and Galaxy. I provide reproducible analysis, clean code and outputs, clear biological interpretation, and straightforward communication throughout the project.