Laura Martens
Laura Martens

PhD student

About Me

I’m a 4th-year PhD student at the Technical University of Munich and Helmholtz Munich. My research focuses on how our genome is so precisely regulated—in both development and disease—to produce various cell states. I use machine learning to explore and answer some of these questions.

Interests
  • Machine Learning
  • Gene regulation
  • Epigenetics
Education
  • PhD Computational Biology

    Technical University Munich

  • MPhil Computational Biology

    University of Cambridge

  • MSc Physics

    University of Heidelberg

  • BSc Physics

    University of Bremen

Recent Publications
(2024). scooby: Modeling multi-modal genomic profiles from DNA sequence at single-cell resolution. bioRxiv.
(2024). Modeling fragment counts improves single-cell ATAC-seq analysis. Nature Methods.
(2023). Epicardioid single-cell genomics uncovers principles of human epicardium biology in heart development and disease. Nature Biotechnology.
(2023). Best practices for single-cell analysis across modalities. Nature Reviews Genetics.