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Breadcrumb

  1. Research
  2. Scientific Discovery
  3. Biology
  4. Computational Biology

Computational
Biology

Integrating data,
modeling, and theory

Job Openings

Illustration by Nathan Johnson | Pacific Northwest National Laboratory

  • Biology
    • Chemical Biology
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    • Microbiome Science
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  • Publications

Related Researchers

Photo of Bobbie-Jo Webb-Robertson

Bobbie-Jo Webb-Robertson

Division Director, Chief Scientist
Chris Oehmen

Chris Oehmen

Senior Research Scientist, Group Leader
Lisa Bramer

Lisa Bramer

Team Lead, Data Science & Biostatistics
Sara Gosline

Sara Gosline

Team Lead, Molecular Analytics
Jason McDermott

Jason McDermott

Team Lead, Systems Biology
Vladislav Petyuk

Vladislav Petyuk

Team Lead, Modeling & Simulation
Neeraj Kumar

Neeraj Kumar, PhD

Data Scientist, Program Development Lead
Ryan Renslow PNNL

Ryan Renslow

Chemical Engineer

Biological systems can be large. A pond-size microbial mat, for instance, or a human organ.

They can be small—the size of cells, or as tiny as molecules performing an outsize metabolic task on which life or health depends.

Whatever size, biological systems are so complex that it is a grand challenge to understand them, let alone predict, design, or control them. Adding to these challenges is the complexity of the data derived from high-throughput metabolomics, proteomics, and genomics assays.

These grand challenges are our mission. We address them by combining data analytics, model-based experimental design, and theory to interpret, predict, and design biological systems.

We statistically analyze, mine, and visualize high-throughput biological data. We model system dynamics and energetics using mathematics and physics. And we perform integrated analyses of regulatory networks and metabolic pathways.

At Pacific Northwest National Laboratory, computational biology is the organizing framework that reveals fundamental processes and principles. These include biomolecular signatures of dysbiosis; regulatory network structure; dynamics of pathways, processes, and microbial interactions; the thermodynamic characterization of molecules, pathways, and cells; and the emergence of higher-order cellular and multicellular capabilities. 

We address issues of national importance, ranging from scalable bioprocesses to health to evolving terrestrial and aquatic ecosystems. 

Our goal is to advance a fundamental understanding of biological processes by integrating data, modeling, and theory into the scientific process.

Software

  • Computational Biology Group GitHub
  • pmartR
  • Omics@PNNL
  • EMSL Computing
  • Computational Mass Spectrometry at PNNL

Opportunities

  • Job Openings

Top Stories

FEBRUARY 1, 2023
Staff Accomplishment

Global Lipid Map Paper Selected for Top Honor

Read
Photo of three people superimposed on a glowing background.
NOVEMBER 30, 2022
Feature

Big Data Analysis Powers the Fight Against Alzheimer’s

Read
Brain Tissue Sample
SEPTEMBER 13, 2022
Staff Accomplishment

PNNL Welcomes New Joint Appointees

Read
Joint Appointments with Pacific Northwest National Laboratory
SEE MORE RELATED NEWS

Featured Research

FEBRUARY 28, 2023
Spotlight

Fundamental Science at PNNL Benefits Rare Disease Research

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Two people standing by lab equipment
FEBRUARY 21, 2023
Research Highlight

Artificial Intelligence Drives Design, Discovery, and Testing of Targeted Therapeutics against SARS-CoV-2

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Digital image of a SARS-CoV-2 virion sitting on a small table surrounded by monitors with a large object floating above it
JANUARY 12, 2023
Spotlight

Breathing New Life into Study of Lungs

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Chris Anderton holds slide
SEE MORE RELATED HIGHLIGHTS

Publications

JULY 15, 2021
Journal Article

Hypergraph Models of Biological Networks to Identify Genes Critical to Pathogenic Viral Response

Read
JUNE 16, 2021
Journal Article

leapR: An R Package for Multiomic Pathway Analysis

Read
APRIL 22, 2021
Journal Article

Proteogenomic and Metabolomic Characterization of Human Glioblastoma

Read
FEBRUARY 1, 2021
Journal Article

Prediction of the Development of Islet Autoantibodies through Integration of Environmental, Genetic, and Metabolic Markers

Read
AUGUST 9, 2019
Journal Article

An integrative analysis of tumor proteomic and phosphoproteomic profiles to examine the relationships between kinase activity and phosphorylation

Read

Facilities

Environmental Molecular Sciences Laboratory

Related Divisions

Biological Sciences Division
Environmental Molecular Sciences Division

Job Openings

Computational Biology Job Openings

Contacts

Chris Oehmen
Senior Research Scientist, Group Leader
chris.oehmen@pnnl.gov
+1 (509) 375-2038
Lee Ann McCue
Computational Scientist
leeann.mccue@pnnl.gov
(509) 375-2912

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