Beyond the Batch

Every generation of scientists has faced complexity, but are today's kinetic systems (cell and gene therapies, advanced materials, complex manufacturing processes) are structurally harder to understand than what came before? 

In this episode, hosts, Dr. Tiffany Rau, Dr. Philip Ramsey, and Nathaniel Leies explain why classical statistical methods often aren't built for the job, why "boundary designs" miss where the real action happens, and why uncertainty (not just a prediction itself) has to be part of every decision.

They also get into designing for manufacturability, how regulators actually respond to quantified risk, and where machine learning methods designed for applied science and engineering problem solving actually helps.

This is Part 2 of our 2-part series on the most dangerous mistakes in CMC.

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Got a question? Want to hear your voice on a future episode?

📬 Write to us at [email protected]. 📬

We read everything, and we'd love to feature listener questions on the show.

If this episode was useful, please subscribe, rate the show, and share it with someone who'd get value from it.

🌐 Visit us on beyondthebatch.io to learn more.

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Beyond the Batch is Predictum's podcast on CMC, data science, and the real-world problems facing R&D, quality, and manufacturing teams. Hosted by Nathaniel Leies (Predictum), with Dr. Tiffany Rau (CMC consultant) and Dr. Philip Ramsey (Professor Emeritus, University of New Hampshire; VP of Data & Analytics, Predictum).

Stock Media provided by Musinova / Pond5

#CMC #Biotech #Podcast #PharmaManufacturing #LifeSciences

The most expensive sentence in biotech might be "I'll worry about that in Phase 3."

In the first episode of Beyond the Batch, host Nathaniel Leies sits down with cohosts, Dr. Tiffany Rau and Dr. Philip Ramsey, to dig into the biggest failure modes in CMC (Chemistry, Manufacturing, and Controls) and why so many of them trace back to teams underestimating the journey ahead of them.

Tiffany, a CMC consultant who's built out facilities and led regulatory strategy across vaccines, monoclonal antibodies, and cell and gene therapy, explains why teams so often misjudge the sheer number of interlocking decisions between preclinical work and commercialization.

Phil, a statistician and longtime R&D consultant connects that same failure to a lack of technical continuity: fragmented teams, knowledge that walks out the door when someone changes roles, and no single person accountable for the project from day one.

In this episode:

• What CMC actually means, and why it's the hub everything runs through
• The most dangerous mistake CMC practitioners make, and why it compounds for years

Practical concepts and tools covered:

• Starting with the end in mind makes projects faster and more successful
• Systems engineers ("integrators") as critical (and often-times forgotten) contributors for cross-functional success
• Pareto frontier decision-making
• Why respecting what your cross-functional colleagues know is more than good manners

Got a question, or want to hear your voice on a future episode?

Write to us at [email protected]. We read everything, and we'd love to feature listener questions on the show.

If this episode was useful, the best way to help it find more people like you is to subscribe, rate the show, and share it with someone who'd get value from it.

Visit us at https://beyondthebatch.io to learn more.

—

Beyond the Batch is Predictum's podcast on CMC, data science, and the real-world problems facing R&D, quality, and manufacturing teams. Hosted by Nathaniel Leies (Predictum), with Dr. Tiffany Rau (CMC consultant) and Dr. Philip Ramsey (Professor Emeritus, University of New Hampshire; VP of Data & Analytics, Predictum).

#CMC #Biotech #Podcast #PharmaManufacturing #LifeSciences