Nils Gehlenborg

Nils Gehlenborg, PhD

Associate Professor of Biomedical Informatics
Director, Master of Biomedical Informatics (MBI) Program

10 Shattuck Street, Boston, MA 02115

Nils Gehlenborg  received his PhD from the University of Cambridge and was a predoctoral fellow at the European Bioinformatics Institute (EMBL-EBI).

The goal of Gehlenborg’s research is to improve human health by developing computational techniques and interfaces that enable scientists and clinicians to efficiently interact with biomedical data. Tight integration of algorithmic approaches from biomedical informatics with advanced data visualization techniques is central to his efforts, as is close collaboration with clinicians and experimentalists. Currently, Gehlenborg is researching and developing novel tools to visualize heterogeneous data from large-scale cancer genomics studies such as The Cancer Genome Atlas, integrating visual and computational approaches to support sense-making in biology, and using software to support reproducible collaborative research in epigenomics and genomics.

Gehlenborg is a co-founder and former general chair of BioVis, the Symposium on Biological Data Visualization, and co-founder of VIZBI, the annual workshop on Visualizing Biological Data. Occasionally, he contributes to the “Points of View” data visualization column in Nature Methods.

Gehlenborg currently serves as the Director of the Master of Biomedical Informatics (MBI) program at Harvard Medical School.


DBMI Research Areas
DBMI Courses
NPJ Digit Med
Authors: International electronic health record-derived post-acute sequelae profiles of COVID-19 patients
2022 Jun 29; 5(1):81.
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BMJ Open
Authors: Changes in laboratory value improvement and mortality rates over the course of the pandemic: an international retrospective cohort study of hospitalised patients infected with SARS-CoV-2
2022 06 23; 12(6):e057725.
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Nat Commun
Authors: Author Correction: The 4D Nucleome Data Portal as a resource for searching and visualizing curated nucleomics data
2022 Nov 02; 13(1):6561.
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IEEE Trans Vis Comput Graph
Authors: Extending the Nested Model for User-Centric XAI: A Design Study on GNN-based Drug Repurposing
2022 Oct 12; PP.
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IEEE Trans Vis Comput Graph
Authors: GenoREC: A Recommendation System for Interactive Genomics Data Visualization
2022 Oct 03; PP.
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IEEE Trans Vis Comput Graph
Authors: Multi-View Design Patterns and Responsive Visualization for Genomics Data
2022 Sep 27; PP.
View full abstract on Pubmed