A Q&A with Héctor García Martín, a scientist merging biology with data-driven tools and robotics to accelerate the pipeline for medicines, eco-friendly materials, and biofuels (Berkeley Lab News)
“It is cutting-edge work,” says Héctor García Martín, a physicist and synthetic biologist at Lawrence Berkeley National Laboratory in Berkeley, California. “They are fully automating the whole process of protein engineering.”
Increasing the sophistication of self-driving biology labs might require a new generation of hardware, because existing automated lab equipment tends to be made with a human overseer in mind, says García Martín. A more fundamental challenge is to create self-driving labs able to generate knowledge that can be interpreted by machines, as well as humans.
Berkeley Lab scientists develop a tool that could drastically speed up the ability to design new biological systems (Berkeley Lab News).
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