News

February 22, 2023

Agile BioFoundry Selects New Projects

Working with scientists at the Agile BioFoundry, these groups will leverage national laboratory capabilities to address challenges in biomanufacturing.

January 13, 2023

Agile BioFoundry, NSF 2023 Funding Opportunity

The funding opportunity will support synthetic & engineering biology research projects that have the potential to leverage ABF capabilities toward eventual translation.

November 16, 2022

Watch: Helping the Biomanufacturing Industry Reach Their Goals Faster

A new video showcases how the Agile BioFoundry helps industry jump-start their biomanufacturing technology development.

November 01, 2022

Watch: ABF Team at Global BioFoundries Alliance Meeting 2022

Agile BioFoundry team members participated in the 2nd Annual Global BioFoundries Alliance Meeting on Oct 14-16, 2022.

October 31, 2022

Tess Hogancamp to Represent Agile BioFoundry at Rio Grande Research SLAM

Tess will be presenting her research on the yeast Rhodotorula toruloides and its potential to produce sustainable aviation jet fuel.

October 13, 2022

Agile BioFoundry, NSF Select New Collaborations

The selectees were chosen from applicants for a direct funding opportunity in partnership with the National Science Foundation.

September 28, 2022

Agile BioFoundry Announces 2022 Funding Opportunity in Partnership with the MSI STEM Research & Development Consortium

The Agile BioFoundry is partnering with the MSI STEM Research & Development Consortium to support promising research.

September 27, 2022

Watch: Cutting Edge Technologies for Accelerating Bioproduct Development

The Agile BioFoundry hosted a public webinar on cutting edge technologies for accelerating bioproduct development.

September 07, 2022

A Bright Idea for Plastic Upcycling

Our collaboration with the University of Georgia lays the foundation for a more sustainable future for one widely-used commodity chemical.

August 30, 2022

Using Machine Learning and Synthetic Biology to Combat Climate Change

Pairing synthetic biology with machine learning's predictive power could result in a disruptive change.