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For years, AI has helped scientists organize data and streamline research, but it's now beginning to tackle biology's toughest scientific challenges. In this episode, Flo sits down with Nicholas, Head of AI at Benchling, to discuss why the physical world has been AI's biggest blind spot—and why that's finally changing. From generative protein design to the future of drug discovery and diagnostics, Nicholas explains how biology is increasingly being engineered in silico (by compute) before it reaches the lab. Plus, he shares what excites him most about the next wave of AI-powered biology - the future of the bioeconomy!
Connect:
Nicholas on Linkedin: https://www.linkedin.com/in/nlarusstone/
Benchling: https://www.benchling.com/
By Chorus StudiosFor years, AI has helped scientists organize data and streamline research, but it's now beginning to tackle biology's toughest scientific challenges. In this episode, Flo sits down with Nicholas, Head of AI at Benchling, to discuss why the physical world has been AI's biggest blind spot—and why that's finally changing. From generative protein design to the future of drug discovery and diagnostics, Nicholas explains how biology is increasingly being engineered in silico (by compute) before it reaches the lab. Plus, he shares what excites him most about the next wave of AI-powered biology - the future of the bioeconomy!
Connect:
Nicholas on Linkedin: https://www.linkedin.com/in/nlarusstone/
Benchling: https://www.benchling.com/