<commit_before>---
layout: person
first_name: Nils
last_name: Gehlenborg
key: gehlenborg
permalink: /persons/{{ key }}
status: active
standfirst: TODO
email: <EMAIL>
image: /assets/images/team/gehlenborg.png
organization: Harvard Medical School
position: Research Associate
components: 
- stratomex
- lineup
website: http://gehlenborg.org
---

# About

<NAME> is a Research Associate in the Park Lab at the Center for Biomedical Informatics at Harvard Medical School and an Associated Researcher in the Cancer Program at the Broad Institute of MIT and Harvard. He received his PhD from the University of Cambridge and was a predoctoral fellow at the European Bioinformatics Institute (EMBL-EBI).

Nils’ long-term goal is to develop computational tools that enable data-driven biomedical research, with a focus on visualization and exploration of genomics and epigenomics data. Currently, he is researching and developing novel tools to visualize heterogeneous data from large-scale cancer genomics studies, integration of visual and computational approaches to support sense-making in biology, and software to support reproducible research in epigenomics and genomics. Nils’ research is funded by an NIH Pathway to Independence Award.<commit_msg>Removed standfirst and fixed website url.<commit_after>---
layout: person
first_name: Nils
last_name: Gehlenborg
key: gehlenborg
permalink: /persons/{{ key }}
status: active
email: <EMAIL>
image: /assets/images/team/gehlenborg.png
organization: Harvard Medical School
position: Research Associate
components: 
- stratomex
- lineup
website: http://www.gehlenborg.com
---

# About

<NAME> is a Research Associate in the Park Lab at the Center for Biomedical Informatics at Harvard Medical School and an Associated Researcher in the Cancer Program at the Broad Institute of MIT and Harvard. He received his PhD from the University of Cambridge and was a predoctoral fellow at the European Bioinformatics Institute (EMBL-EBI).

Nils’ long-term goal is to develop computational tools that enable data-driven biomedical research, with a focus on visualization and exploration of genomics and epigenomics data. Currently, he is researching and developing novel tools to visualize heterogeneous data from large-scale cancer genomics studies, integration of visual and computational approaches to support sense-making in biology, and software to support reproducible research in epigenomics and genomics. Nils’ research is funded by an NIH Pathway to Independence Award.
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