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Nils Gehlenborg Email & Phone Number

Associate Professor, Biomedical Informatics at Harvard Medical School
Location: Greater Boston, United States 14 work roles 3 schools
2 work emails found @hms.harvard.edu 1 phone found area 617 LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

Contact Signals · 2 work emails · 1 phone

Work email n****@hms.harvard.edu
Direct phone (617) ***-****
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Current company
Role
Associate Professor, Biomedical Informatics
Location
Greater Boston, United States

Who is Nils Gehlenborg? Overview

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Quick answer

Nils Gehlenborg is listed as Associate Professor, Biomedical Informatics at Harvard Medical School, based in Greater Boston, United States. AeroLeads shows a work email signal at hms.harvard.edu, phone signal with area code 617, and a matched LinkedIn profile for Nils Gehlenborg.

Nils Gehlenborg previously worked as Director, Biomedical Informatics and Data Science Research Training Program (BIRT) at Harvard Medical School and Director, Master in Biomedical Informatics Program (MBI) at Harvard Medical School. Nils Gehlenborg holds Phd, Bioinformatics from University Of Cambridge.

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Email format at Harvard Medical School

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{first}@hms.harvard.edu
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Profile bio

About Nils Gehlenborg

The goal of my research is to improve human health by developing computational techniques and interfaces that enable scientists and clinicians to efficiently interact with biomedical data. I design, implement and evaluate methods and tools that leverage the knowledge and cognitive skills of biomedical and clinical investigators in order to enable the interpretation of large and heterogeneous data sets.My work is motivated by the rapid advance in technologies used to generate, store, and compute on massive biomedical data sets and the tremendous opportunity for deep insights offered by tools that enable the efficient and reproducible integration, visualization, and exploration of these data. Such tools are essential for investigators to generate hypotheses, interpret analysis results, and ultimately make informed decisions based on their data.In my research I combine methods from a wide range of fields, primarily data visualization and bioinformatics, but also from information retrieval, machine learning, and human-computer interaction. Interdisciplinary collaboration is central to my approach. Apart from the end users of the interactive techniques I develop, I also aim to involve other computational experts to optimize the integration of my work into the overall analysis process.

Listed skills include Bioinformatics, Data Visualization, Computational Biology, Machine Learning, and 25 others.

Current workplace

Nils Gehlenborg's current company

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Harvard Medical School
Harvard Medical School
Associate Professor, Biomedical Informatics
Boston, MA, US
AeroLeads page
14 roles

Nils Gehlenborg work experience

A career timeline built from the work history available for this profile.

Associate Professor, Biomedical Informatics

Current

Boston, Ma, Us

Jul 2021 - Present

Director, Biomedical Informatics And Data Science Research Training Program (Birt)

Current

Boston, Ma, Us

Jul 2018 - Present

Director, Master In Biomedical Informatics Program (Mbi)

Current

Boston, Ma, Us

Responsible for the Master in Biomedical Informatics Program (http://informaticstraining.hms.harvard.edu/).

Jul 2017 - Present

Assistant Professor, Biomedical Informatics

Boston, Ma, Us

Core Faculty in the Department of Biomedical Informatics (http://dbmi.hms.harvard.edu)

Jul 2015 - Jun 2021

Research Associate

Boston, Ma, Us

Postdoctoral Researcher in the Computational Genomics Lab of Peter J Park

Oct 2010 - Jun 2015

Co-Founder

Current

Linz, Oberösterreich, At

datavisyn develops data visualization solutions for applications in pharmaceutical and biomedical R&D.

Dec 2016 - Present

Principal Investigator

Current

Leading the Humans in Data Integration, Visualization, and Exploration (HIDIVE) Lab in the Department of Biomedical Informatics at Harvard Medical School.

Jul 2015 - Present

Associated Researcher

Cambridge, Ma, Us

Member of the TCGA Genome Data Analysis Center in the Cancer Program

Jan 2011 - Dec 2014

Phd Student

Cambridge, England, Gb

PhD student at the University of Cambridge

Sep 2006 - Oct 2010

Research Assistant

Baden-Württemberg, De

Research Assistant in the Integrative Transcriptomics Group of Kay Nieselt (http://it.inf.uni-tuebingen.de)

Oct 2004 - Aug 2005
3 education records

Nils Gehlenborg education

Phd, Bioinformatics

University Of Cambridge

Ms ("Diplom"), Bioinformatics

University Of Tübingen

Visiting Student, Computer Science

University Of Washington
FAQ

Frequently asked questions about Nils Gehlenborg

Quick answers generated from the profile data available on this page.

What company does Nils Gehlenborg work for?

Nils Gehlenborg works for Harvard Medical School.

What is Nils Gehlenborg's role at Harvard Medical School?

Nils Gehlenborg is listed as Associate Professor, Biomedical Informatics at Harvard Medical School.

What is Nils Gehlenborg's email address?

AeroLeads has found 2 work email signals at @hms.harvard.edu for Nils Gehlenborg at Harvard Medical School.

What is Nils Gehlenborg's phone number?

AeroLeads has found 1 phone signal(s) with area code 617 for Nils Gehlenborg at Harvard Medical School.

Where is Nils Gehlenborg based?

Nils Gehlenborg is based in Greater Boston, United States while working with Harvard Medical School.

What companies has Nils Gehlenborg worked for?

Nils Gehlenborg has worked for Harvard Medical School, Datavisyn Gmbh, Hidive Lab, Broad Institute, and Iscb - International Society For Computational Biology.

How can I contact Nils Gehlenborg?

You can use AeroLeads to view verified contact signals for Nils Gehlenborg at Harvard Medical School, including work email, phone, and LinkedIn data when available.

What schools did Nils Gehlenborg attend?

Nils Gehlenborg holds Phd, Bioinformatics from University Of Cambridge.

What skills is Nils Gehlenborg known for?

Nils Gehlenborg is listed with skills including Bioinformatics, Data Visualization, Computational Biology, Machine Learning, Genomics, Transcriptomics, Systems Biology, and Proteomics.

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