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Katarzyna Kedziora, PhD

Assistant Professor, Genetics

Research Interests

Keywords: Microscopy image analysis, advanced imaging, computational biology, machine learning, deep learning

BARC Website

I am a microscopist and image analyst with extensive experience in developing and applying advanced microscopy techniques, designing new image analysis algorithms, automating analysis pipelines, and teaching microscopy on all levels – from third graders to postdocs.

As a co-Principal Investigator of the UNC School of Medicine Bioinformatics and Analytics Research Collaborative (BARC), I provide support for image analysis to the UNC community of biological and biomedical researchers and their network of collaborators. I develop customized and automated data analysis and visualization pipelines, and I train scientists to use them in their quantitative microscopy projects. I also provide the imaging community access to tools and resources to improve data and metadata handling, data quality control and reproducibility, and the sharing of imaging datasets.

In 2020, I was named one of the Chan Zuckerberg Initiative Imaging Scientists. In this role, I focus on identifying and supporting microscopy projects that could benefit most from modern machine and deep learning image analysis approaches.

Mentor Training:

  • Bias 101
  • BEST: Foundations of Supervision
  • Safe Zone

Courses Taught:

  • Fundamentals of Quantitative Image Analysis for Light Microscopy (BCB/GNET 730)
  • Advanced Light Microscopy (CBPH 710)


Katarzyna Kedziora in UNC Genetics News

Katarzyna Kedziora