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synthetic biologyPhys Org
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HĂŠctor GarcĂa MartĂn is a staff scientist in the Biosciences Area of Lawrence Berkeley National Laboratory (Berkeley Lab) He is working to accelerate and refine this R&D landscape by applying artificial intelligence and the mathematical tools he mastered during his training as a physicist.
We spoke with him to learn how AI , bespoke algorithms, mathematical modeling, and robotic automation can come together as a sum greater than its parts.
An intense application of AI and robotics/automation to synthetic biology can accelerate synthetic biology timelines ~20-fold.
We could create a new commercially viable molecule in 6 months instead of 10 years .
This is direly needed if we want to enable a circular bioeconomy.
The challenges ahead require a multidisciplinary approach involving synthetic biologists.
My current position allows me to use my mathematical knowledge to try and predictably engineer cells to produce biofuels and fight climate change. We have made a lot of progress, and have provided some of the first examples of AI -guided synthetic biology, but there is still a lot of work to do to make biology predictable. Provided by Lawrence Berkeley National LaboratoryThis story was originally published on Phys.org . Subscribe to our newsletter for the latest sci-tech news updates..
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