Biomedical research has evolved into a data-driven enterprise that exposes a broad audience of researchers, clinicians, and patients to unprecedented amounts of data. Opportunities to implement innovative methodologies at the interface between data visualization and biomedical informatics are emerging at a rapid pace. In this talk, I will present several research projects in my lab that range from visual explorations tools for biomedical researchers in basic science to apps designed for clinicians and patients to be used in clinical settings. I will also review some of the challenges that data visualization research in biomedical informatics is facing and discuss how we can bridge the gap between the data visualization and biomedical informatics communities.

Bio:
Nils Gehlenborg leads a research lab in the Department of Biomedical Informatics at Harvard Medical School. His team is a group of data scientists and software developers who are passionate about driving biomedical discovery by creating efficient and effective visual interfaces between analysts and data. His work focuses on the development of visual analysis tools for genomic, clinical, and other biomedical data to address challenges in basic and applied research. His group is particularly interested in applying innovative approaches in cancer genomics, epigenomics, and chromosome conformation studies.

Nils holds a PhD from the University of Cambridge and conducted post­doctoral research at Harvard Medical School before being recruited to the newly established Department of Biomedical Informatics at Harvard Medical School.