Christian Brueffer

Christian Brueffer

Bioinformatician and Data Scientist

InSilico Consulting AB

Lund University

About Me

I am a freelance Bioinformatician and Data Scientist providing consulting services to clients in industry and academia to help them make sense of their data. Previously, I lead the bioinformatics and data science team at SAGA Diagnostics, a company developing personalized cancer diagnostics based on genomics and liquid biopsy. Additionally, I conduct research in affiliation with Lund University in Sweden.

My main interest is in using computational methods and biological/medical data to improve our understanding and treatment of diseases. Many of my projects, including my doctoral thesis, have been focused on cancer in humans. Additionally I work on improving open source bioinformatics and reproducible research infrastructure by contributing to projects such as conda-forge, Bioconda, and Biopython.

Over the past 20 years I have contributed to a number of open source software projects, most notably the FreeBSD computer operating system. A rough overview can be found on GitHub and OpenHub.

Interests
  • Bioinformatics and Data Science
  • Disease Biology and Diagnostics
  • Open Source Software
  • Software Engineering
Education
  • PhD in Medical Science (Bioinformatics and Cancer Genomics)

    Lund University, Sweden

  • MSc in Bioinformatics

    Lund University, Sweden

  • BSc in Scientific Programming

    Aachen University of Applied Sciences, Germany

Consulting

I provide bioinformatics and data science consulting services to clients in industry and academia through my company InSilico Consulting AB. With a decade of experience in bioinformatics, biomedical data science, genomics, and diagnostics, as well as over two decades in IT to draw from I can help you make sense of your data. For more details on my experience, please see About Me and my publications and public talks.

Areas I can help you with include, but are not limited to

  • Genomics, Transcriptomics, and other Omics analyses
  • Clinical data analysis
  • Cancer/oncology-related applications, such as somatic mutation profiling and liquid biopsy
  • Computational pipeline/workflow development
  • Data processing, cleaning, integration, and visualization
  • Machine learning
  • Software development

See https://insilico.consulting for more details.

Get in touch

For consulting inquiries, please contact me via email or LinkedIn.

Recent Publications

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Digital PCR quantification of ultrahigh ERBB2 copy number identifies poor breast cancer survival after trastuzumab.
npj Breast Cancer, 2024. 10:14

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Preoperative ctDNA Levels are Associated with Poor Overall Survival in Patients with Ovarian Cancer.
Cancer Genomics & Proteomics, 2023. 20(6suppl):763-770

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805P Tumor-informed ctDNA detection as a predictive marker for postoperative residual disease in epithelial ovarian cancer: A feasibility study.
Annals of Oncology, 2023. 34:S536, Supplement 2

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