Cell Mates

Cell Mates
Podcast Description
Cell Mates is a podcast where we bring together engineers and scientists to tackle the distinct challenges of pharma automation. By combining engineering expertise with scientific insight, we explore how robotics, automation, and AI are advancing the future of pharmaceutical manufacturing. Our mission is to foster collaboration across disciplines and highlight the innovations driving forward the future of the pharmaceutical space.
Podcast Insights
Content Themes
The podcast delves into themes like the integration of robotics in pharma manufacturing, cross-disciplinary innovation, and the impact of AI on personalized therapies, with episodes featuring topics such as misunderstandings between scientists and engineers and the role of automation in enhancing manufacturing scalability.

Cell Mates is a podcast where we bring together engineers and scientists to tackle the distinct challenges of pharma automation.
By combining engineering expertise with scientific insight, we explore how robotics, automation, and AI are advancing the future of pharmaceutical manufacturing.
Our mission is to foster collaboration across disciplines and highlight the innovations driving forward the future of the pharmaceutical space.
What tasks are humanoids uniquely good at and what does that mean for the future of work?
In Episode 2 of Cell Mates, we invite Tony Yang, Director of North American Markets from Unitree Robotics to discuss the future of humanoid robots and how robots can fundamentally change the future. We explore in particular what this means for the biomanufacturing industry.
Highlights include:
- Where do humanoids fit in pharma?
- What makes robotic adoption difficult (yet inevitable)?
- What could a future filled with humanoids could look like?
This episode breaks down what the robotic future might actually look like, and how close we are to building it!
New to Cell Mates? We're the podcast where pharma, robotics, and automation collide to reimagine the future of medicine—one operation at a time.

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