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Chris Mungall

Department Head, Biosystems Data Science
Computer Staff Scientist/Engineer

Environmental Genomics and Systems Biology

  • Biosystems Data Science

Building: 977, Room 257
Mail Stop: 977
Phone: (510) 486-4170
CJMungall@lbl.gov

Curriculum Vitae

Programs & Initiatives

The Monarch Initiative
Gene Ontology Consortium
The Environmental Ontology (EnvO)

Research Interests

Dr. Chris Mungall is a Staff Scientist in the Environmental Genomics and Systems Biology Division at LBNL, where he heads the Biosystems Data Science department. Chris’s research interests center around the capture, computational integration, and dissemination of biological research data, and the development of methods for using this data to elucidate biological mechanisms underpinning the health of humans and of the planet. He and his team have led the creation of key biological ontologies for the integration of resources covering gene function, anatomy, phenotypes and the environment. In the Gene Ontology project and others, Chris and his collaborators develop systems that help curators translate biological knowledge into a computable form, and apply that biological knowledge to answer complex biological questions.

Chris’s areas of focus include ontologies, systems biology, data science, biocuration, knowledge representation, data harmonization, reusable and interoperable software, machine learning and reasoning. A growing area of interest is translating curated basic research data into clinically actionable frameworks.

Chris is a PI on the Gene Ontology (GO), the Monarch Initiative, the Alliance of Genome Resources, Phenomics First, and the NCATS Biomedical Data Translator, as well as metadata lead for the National Microbiome Data Collaborative (NMDC). In 2017, Chris was the first person to be awarded the Exceptional Contributions to Biocuration Award by the International Society for Biocuration. In 2020, he received a Berkeley Lab Early Scientific Career Director’s Award.

Selected Publications

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Researchers Aid in Quest to Identify Genetically Engineered Organisms

August 15, 2023

The scientific and national security communities have long shared an unmet need for a tool capable of quickly and reliably distinguishing genetically modified organisms from naturally occurring ones. Over the course of a six-year program funded by the United States Intelligence Advanced Research Projects Activity (IARPA), several techniques were developed and refined. Biosciences Area researchers led testing and evaluation of these technologies, designing and producing biological samples of increasing complexity to assess how well the tools performed.

EGSB Researchers Tapped for Bridge2AI

October 31, 2022

A team headed by the Environmental Genomics and Systems Biology (EGSB) Division’s Chris Mungall, will be part of the National Institute of Health program, Bridge to Artificial Intelligence (Bridge2AI). Mungall and his colleagues will be collaborators in the Standards Core, led by the University of Colorado.

Biomedical Data Translator Consortium Reports Progress in Pair of Publications

July 20, 2022

In a pair of recently published papers, members of the Biomedical Data Translator Consortium detailed new features, functionality, and applications of the Translator system and its underlying data model, the Biolink Model.

For more Chris Mungall news items »

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