Skip to content
View lottensmann's full-sized avatar
  • University of Helsinki
  • Helsinki, Finland

Highlights

  • Pro

Organizations

@opentecr

Block or report lottensmann

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
lottensmann/README.md

Linda Ottensmann

Bioinformatics Researcher | 🧬 Genomics | 💻 Biostatistics


About Me

I'm a doctoral researcher interested in bioinformatics, biostatistics, genomics, lipidomics, and cardiovascular disease. I work with large biobank cohort data to analyze the genetic architecture of the human plasma lipidome and its link to disease risk.

  • Currently working on: Lipidomic profiles of smoking and alcohol consumption
  • Previously: GWAS of lipid species Nature Communications
    Examining links between lipid species and disease risk EBioMedicine
  • Background: MSc Life Science Informatics (University of Helsinki, Finland),
    BSc Bioinformatics and Genome research (University of Bielefeld, Germany)

🛠️ Tools & Technologies

Languages: R, Python, Bash
Frameworks & Tools: Cromwell, Docker, RMarkdown, Jupyter Notebook
Cloud & Platforms: Google Cloud, HPC


📣 Let's Connect


Popular repositories Loading

  1. protein-language-challenge protein-language-challenge Public

    Forked from CBH2021/protein-language-challenge

    Copenhagen Bioinformatics Hackathon 2021 Protein Edition - Protein Language Challenge

    Python

  2. opentecr opentecr Public

    Forked from freiburgermsu/opentecr

    openTECR database curation

    HTML

  3. lottensmann lottensmann Public

  4. gwas-plots gwas-plots Public

    Scripts for creating plots visualizing GWAS results and results from follow-up methods

    R