Quantitative

Metabolic Modeling

Our goal

We create the tools necessary to predict biological behavior, so as to unlock the full potential of bioengineering. To this end, we combine machine learning, synthetic biology and automation with mathematical modeling. We use these tools to enable the production of renewable biofuels and bioproducts, and combat climate change.

You can find more detailed information on our research here (or click on the figures below for published examples).

Machine Learning


Synthetic Biology


Automation


News

New position open!!

The group in the media

Machine Learning Takes on Synthetic Biology: Algorithms Can Bioengineer Cells for You

Berkeley Lab scientists develop a tool that could drastically speed up the ability to design new biological systems (Berkeley Lab News).

See more press releases and ART information on the ART website.

Hector's Public Lecture about Synthetic Biology and Artificial Intelligence

Nerd Nite East Bay public lecture provides a non-technical introduction to our work.

Last updated Sept. 10th 2022

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