Nils Gehlenborg
Nils Gehlenborg, PhD
Assistant Professor of Biomedical Informatics, Harvard Medical School
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
A Generic Framework and Library for Exploration of Small Multiples through Interactive Piling.
Authors: Lekschas F, Zhou X, Chen W, Gehlenborg N, Bach B, Pfister H.
IEEE Trans Vis Comput Graph
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International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium.
Authors: Brat GA, Weber GM, Gehlenborg N, Avillach P, Palmer NP, Chiovato L, Cimino J, Waitman LR, Omenn GS, Malovini A, Moore JH, Beaulieu-Jones BK, Tibollo V, Murphy SN, Yi SL, Keller MS, Bellazzi R, Hanauer DA, Serret-Larmande A, Gutierrez-Sacristan A, Holmes JJ, Bell DS, Mandl KD, Follett RW, Klann JG, Murad DA, Scudeller L, Bucalo M, Kirchoff K, Craig J, Obeid J, Jouhet V, Griffier R, Cossin S, Moal B, Patel LP, Bellasi A, Prokosch HU, Kraska D, Sliz P, Tan ALM, Ngiam KY, Zambelli A, Mowery DL, Schiver E, Devkota B, Bradford RL, Daniar M, Daniel C, Benoit V, Bey R, Paris N, Serre P, Orlova N, Dubiel J, Hilka M, Jannot AS, Breant S, Leblanc J, Griffon N, Burgun A, Bernaux M, Sandrin A, Salamanca E, Cormont S, Ganslandt T, Gradinger T, Champ J, Boeker M, Martel P, Esteve L, Gramfort A, Grisel O, Leprovost D, Moreau T, Varoquaux G, Vie JJ, Wassermann D, Mensch A, Caucheteux C, Haverkamp C, Lemaitre G, Bosari S, Krantz ID, South A, Cai T, Kohane IS.
NPJ Digit Med
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Pattern-Driven Navigation in 2D Multiscale Visualizations with Scalable Insets.
Authors: Lekschas F, Behrisch M, Bach B, Kerpedjiev P, Gehlenborg N, Pfister H.
IEEE Trans Vis Comput Graph
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Tasks, Techniques, and Tools for Genomic Data Visualization.
Authors: Nusrat S, Harbig T, Gehlenborg N.
Comput Graph Forum
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Lineage: Visualizing Multivariate Clinical Data in Genealogy Graphs.
Authors: Nobre C, Gehlenborg N, Coon H, Lex A.
IEEE Trans Vis Comput Graph
View full abstract on Pubmed
Visual Pattern-Driven Exploration of Big Data.
Authors: Behrisch M, Schreck T, Krüger R, Gehlenborg N, Lekschas F, Pfister H.
2018 Int Symp Big Data Vis Immers Analyt (BDVA) (2018)
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HiGlass: web-based visual exploration and analysis of genome interaction maps.
Authors: Kerpedjiev P, Abdennur N, Lekschas F, McCallum C, Dinkla K, Strobelt H, Luber JM, Ouellette SB, Azhir A, Kumar N, Hwang J, Lee S, Alver BH, Pfister H, Mirny LA, Park PJ, Gehlenborg N.
Genome Biol
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SATORI: a system for ontology-guided visual exploration of biomedical data repositories.
Authors: Lekschas F, Gehlenborg N.
Bioinformatics
View full abstract on Pubmed
HiPiler: Visual Exploration of Large Genome Interaction Matrices with Interactive Small Multiples.
Authors: Lekschas F, Bach B, Kerpedjiev P, Gehlenborg N, Pfister H.
IEEE Trans Vis Comput Graph
View full abstract on Pubmed
UpSetR: an R package for the visualization of intersecting sets and their properties.
Authors: Conway JR, Lex A, Gehlenborg N.
Bioinformatics
View full abstract on Pubmed