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We are hiring! Postdocs in genomics and visualization wanted now.

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Data visualization to drive discovery.

The Gehlenborg Lab in the Department of Biomedical Informatics at Harvard Medical School 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. We focus on the development of visual analysis tools for genomic and other biomedical data to address challenges in basic and applied research. We are particularly interested in applying our approaches in cancer genomics, epigenomics, and chromosome conformation studies.

The most recent results of our work can always be found on the bioRxiv and on GitHub.

Latest News

Gehlenborg Lab will present five talks at ISMB 2018

5 July 2018 | The Gehlenborg Lab will be presenting five talks at ISMB 2018 in Chicago. More ...

Welcome to Trevor Manz, Angela Chen, and Lina Chi!

15 June 2018 | New team members and visitors joined the lab in June 2018. More ...

Danielle Nguyen, Sabrina Nusrat, and Theresa Harbig Joining the Lab

29 January 2018 | Three talented new team members joined the Gehlenborg Lab in January 2018 More ...

Visualizing Genealogies and Multivariate Clinical Data

19 April 2017 | Lineage is a web-based visualization tool for the analysis of clinical data in the context of genealogical graphs. More ...

HiPiler Preprint on the bioRxiv

3 April 2017 | HiPiler is interactive visualization interface for the exploration and visualization of regions-of-interest such as loops in large genome interaction maps. More ...