Mahima Gomladu is a Senior Bioinformatics Specialist at the Genomics Core Facility, University of Bergen (UiB). Her work focuses on developing reproducible computational frameworks for the analysis and interpretation of high-throughput biological data, supporting research across genomics, transcriptomics, functional genomics, systems biology, and precision medicine. She collaborates with multidisciplinary research groups to translate complex sequencing data into biologically meaningful insights, contributing from study design and computational analysis to statistical interpretation and biological discovery.

Her research interests include integrative multi-omics analysis, genome and transcriptome analysis, biological network modelling, knowledge graphs for life sciences, AI-assisted biological data interpretation, and the development of scalable computational methodologies for modern biomedical research. She is particularly interested in advancing approaches that improve the integration, interpretation, and reproducibility of complex biological datasets while supporting data-driven hypothesis generation and translational research.

Mahima is a Nextflow Ambassador and actively contributes to the development of reproducible bioinformatics workflows and best practices for computational life sciences. She collaborates with ELIXIR Norway and researchers across the Norwegian life science community, including the University of Oslo, to promote FAIR data principles, interoperable research infrastructures, and open, reproducible computational science that accelerates biological and biomedical research.

• Bioinformatics training and workshops for researchers, students, and clinicians.
• Nextflow Ambassador activities, promoting reproducible and scalable workflow development.
• Contributions to open-source bioinformatics and workflow standardization.
• Collaboration with ELIXIR Norway to support FAIR data principles and reproducible research.
• Supporting multidisciplinary collaborations between computational scientists and experimental researchers.
• Presentations at scientific conferences, seminars, and community events.
• Mentoring researchers in bioinformatics analysis and best practices.
• Participation in national and international genomics initiatives.

Mahima contributes to teaching and training in bioinformatics by supporting researchers and students in computational genomics, reproducible workflow development, and high-throughput sequencing data analysis. She provides hands-on training, workshops, and bioinformatics consultation, with a focus on best practices in computational biology, data interpretation, and reproducible research.

Selina Cannon Homaei, Elaheh Mahootchi, Aashish Srivastava, Mahima Sanjay Gomladu, Oda Caspara Krokengen, Anne Baumann, Jan Haavik,
Blocking β-alanine synthesis triggers widespread perturbations of energy and lipid metabolism in the brain,
Molecular Metabolism,
Volume 109,
2026,
102383,
ISSN 2212-8778

• RNA Sequencing (Bulk RNA-seq)
• Single-cell and Spatial Transcriptomics
• Whole Genome Sequencing (WGS)
• Whole Exome Sequencing (WES)
• Variant Discovery and Interpretation
• miRNA and Small RNA Analysis
• Differential Gene Expression Analysis
• Functional Genomics and Pathway Analysis
• Multi-omics Data Integration
• Computational Genomics
• Bioinformatics Workflow Development
• Reproducible Computational Biology
• Knowledge Graphs for Biological Data Integration
• AI-driven Biological Data Interpretation
• FAIR Bioinformatics and Research Data Management