Universitätsinstitut für Medizinische Genetik

Anand Maurya

Contact

Medical genetics  (» Postal address)

W37-0-006 (» Adress and map)

Anand Maurya

Main focus of work

  • Genomics
  • Transcriptomics
  • Multi-omics data integration
  • Bioinformatics software engineering and workflow development
  • Short- and long-read sequencing data analysis
  • Full-stack web development

Curriculum vitae

Bioinformatician and full-stack web developer with experience in designing, developing, and automating next-generation sequencing (NGS) data analysis workflows, including clinical whole-exome, whole-genome, and RNA-seq analyses.

Currently part of the Core Facility Genomics and Bioinformatics at the University of Oldenburg, focusing on data management, NGS data analysis, and the development of bioinformatics tools and workflows to support multi-omics research.

Previously at the University of Oxford, led the development and implementation of bioinformatics tools and workflows on the cloud-based trusted research environment Terra.bio (on Google Cloud Platform), providing bioinformatics support to projects on neurodegenerative diseases at the Oxford-GSK Institute of Molecular and Computational Medicine (IMCM).

PhD research at Adam Mickiewicz University focused on the analysis of publicly available RNA-seq datasets to investigate small RNAs, alongside the construction of full-stack web applications for snoRNA and tRNA expression databases.

Earlier experience includes positions at MedGenome Labs Ltd. and Genotypic Technology Pvt. Ltd., two genomic diagnostics laboratories in India, where responsibilities included clinical WGS/WES and targeted panel data analysis, as well as full-stack web development of dashboards for tracking analyses, sample quality control, and gene expression studies across both academic and industrial settings.

Core expertise includes bioinformatics software engineering, workflow development and management, CI/CD automation, and full-stack web application development.

Research Interests

  • Computational methods for multi-omics data integration
  • Data standardization and reproducibility in omics research
  • Variant annotation and interpretation
  • Functional genomics and transcriptomics
(Changed: 24 Jun 2026)  Kurz-URL:Shortlink: https://uol.de/p115448en
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