Quantitative
Metabolic Modeling
Our goal
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.
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).
You can find more detailed information on our research here (or click on the figures below for published examples).
News
News
New paper on self-driving labs!!
New paper on self-driving labs!!
The group in the media
The group in the media
Machine Learning Takes on Synthetic Biology: Algorithms Can Bioengineer Cells for You
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
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 Feb. 20th 2023
Programs/grants:
Programs/grants: