Maryam Ghareghani

I am a computational biologist and data scientist with a Ph.D. in Computer Science from
Saarland University and the Max Planck Institute for Informatics. My research focuses on
genome analysis, structural variations, and scalable workflows for large-scale data such as the
1000 genomes project and UK Biobank. Currently, I am a research staff member at Freie
Universität Berlin and a guest researcher at the Max Planck Institute for Molecular Genetics,
where I work on reproducible, high-performance computational pipelines and work on projects
at the intersection of bioinformatics, data science, and AI.

Education

• Ph.D. in Computer Science – Saarland University / Max Planck Institute for Informatics,
  Germany (2016–2022)
• M.Sc. in Computer Science – Sharif University of Technology, Iran (2013–2016)
• B.Sc. in Computer Science – Sharif University of Technology, Iran (2009–2013)

Professional Experience

• Research Staff, Freie Universität Berlin (2023–Present)
  Conducting research, lecturing, and mentoring students, member of the Ph.D. examination
  committees.
• Guest Researcher, Max Planck Institute for Molecular Genetics (2023–Present)
  Working on structural variations, tandem repeats, and scalable workflows; supervising a
  Master’s project on disease classification and polygenic risk scores using UK Biobank data.
• Doctoral Researcher, Max Planck Institute for Informatics (2021–2023)
  Research on genomics and computational methods for structural variation and genome
  assembly.

Research Visits

• ETH Zurich, Computational Biology Group (2018)
• EMBL Heidelberg, European Molecular Biology Laboratory (2018)

Selected Publications

• Henglin M., Ghareghani M., ..., Marschall T., Graphasing: phasing diploid genome assembly
  graphs with single-cell strand sequencing. Genome Biology, 2024.
• Ebert P., Audano P.A., ..., Ghareghani M., ..., Marschall T., Eichler E.E., Haplotype-resolved
  diverse human genomes and integrated analysis of structural variation. Science, 2021.
• Sanders A. D., Meiers S., Ghareghani M., Porubsky D., … , Marschall T., Korbel J. O,
  Single-cell analysis of structural variations and complex rearrangements with tri-channel
  processing. Nature Biotechnology, 2019.

Full publication list: Google Scholar

Teaching experience (selected)

• Bioinformatics, FU Berlin (2025)
• Data Science for Life Sciences, FU Berlin (2024)
• Workshops on workflow management systems and reproducible pipelines