Today, the brilliant Dr. Pierre Salvy details the "double deep-tech sandwich" that blends cutting-edge A.I. (generative LLMs) with cutting-edge bioengineering (creating new materials). This is a fascinating one, shot live at the Merantix AI Campus in Berlin.
Pierre:
• Has been at Cambrium for three years. Initially as Head of Computational Biology and then Head of Engineering for the past two years, growing the team from 2 to 7 to bridge the gap between wet-lab biology, data science, and scientific computing.
• Holds a PhD in Biotechnology from EPFL in Switzerland and a Master’s in Math, Physics and Engineering Science from Mines in Paris.
Today’s episode touches on technical machine learning concepts here and there, but should largely be accessible to anyone.
In it, Pierre details:
• How data-driven R&D allowed Cambrium to go from nothing to tons of physical product sales inside two years.
• How his team leverages Large Language Models (LLMs) to be the biological-protein analogue of a ChatGPT-style essay generator.
The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.