Empowering Biologists with Deep Learning Approaches for Image Analysis

Dr. Kedziora is 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. She became interested in microscopy during her studies in biophysics at the Jagiellonian University and biomedical engineering at the University of Science and Technology in Krakow, Poland. She completed her PhD at The Netherlands Cancer Institute in Amsterdam, where she developed and applied advanced microscopy techniques to study motility and signaling of individual cancer cells. As an imaging scientist associated with The Bioinformatics and Research Collaborative at the University of North Carolina (UNC) at Chapel Hill, she collaborates with microscopy cores to provide support for image analysis to researchers studying diverse questions in cell biology. She is fascinated with how machine and deep learning has changed the field of computer vision and is passionate about making these state-of-the-art analysis methods accessible to biologists working with microscopy images.