Smart Biotech Scientist | Master Bioprocess CMC Development, Biologics Manufacturing & Scale-up, Cell Culture Innovation
The Go-to Podcast for Biotech Scientists Who Want to Master Biopharma CMC Development and Biomanufacturing.
**TOP 10 LIFE SCIENCES PODCAST**
Are you ready to simplify bioprocess development and scale with confidence to reduce time to market?
Are you feeling overwhelmed by the complexity and guesswork of biologics development and biomanufacturing?
Do you wish you had more time to enjoy the beauty of science, without worrying about failing your cell culture process development and commercialization?
There's a way to simplify and streamline so you can remove complexity, skip trials and errors, deliver your groundbreaking therapy to clinics and market without delay, and still enjoy every single step.
I'm David Brühlmann, a biotech entrepreneur and strategic advisor who partners with C-level biopharma leaders to tackle one of our industry's biggest challenges: reducing manufacturing costs to make lifesaving therapies accessible to more patients worldwide.
Through engaging conversations with industry pioneers and practical insights from the trenches, this podcast tackles the critical challenges in bioprocess CMC development and manufacturing of recombinant proteins and cell and gene therapy products. We cut through the complexity so you can:
- Master bioprocess development with confidence and clarity
- Excel at scale-up and manufacturing of biologics
- Transform your innovative therapy and manufacturing technology into market-ready solutions faster
- Optimize manufacturing costs without compromising quality
- Make data-driven decisions that reduce the risk of failure
I can’t wait to help you do biotech the smart way.
Grab a cup of coffee and your favorite notebook and pen. Now is the time to take your bioprocessing game to the next level.
Ready to transform your biomanufacturing journey? Let's dive in!
Next Steps:
Book a free call to reduce biomanufacturing costs and make lifesaving therapies more accessible: https://bruehlmann-consulting.com/call
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Smart Biotech Scientist | Master Bioprocess CMC Development, Biologics Manufacturing & Scale-up, Cell Culture Innovation
213: From Developability to Formulation: How In Silico Methods Predict Stability Issues Before the Lab with Giuseppe Licari - Part 1
What if you could predict formulation failures before ever touching a pipette? Computational approaches are revolutionizing biologics development, replacing trial-and-error experimentation with predictive intelligence that catches stability issues early and accelerates your path from candidate selection to clinic.
In this episode, David Brühlmann welcomes Giuseppe Licari, Principal Scientist in Computational Structural Biology at Merck KGaA. A chemist by training, Giuseppe transitioned from wet lab experimentation to the predictive power of in silico modeling. Today, he operates at the intersection of computational biology and CMC development, using digital tools to screen candidates for developability, predict formulation challenges, and de-risk development programs before committing resources to the lab.
Discover how computational methods are transforming the way biotech companies approach developability assessment and formulation strategy:
- Why maximizing shelf life isn’t always necessary in early development phases (02:56)
- The critical role of communication between computational and bench scientists (06:46)
- Core properties to assess for developability, including hydrophobicity, aggregation, charge, and immunogenicity (11:06)
- How accurate are in silico predictions, and where do they add the most value? (13:23)
- The limitations and strengths of machine learning and physics-based models in predicting protein behavior (15:19)
- The differences between developability, formulation development, and formulatability, and the value of early cross-functional collaboration (17:17)
- When to use platform formulations and when tailored approaches are needed for complex molecules (19:25)
- The advantages of using computational methods at any stage, especially for de-risking strategies (20:13)
Listen in for practical strategies for integrating in silico predictions into your developability and CMC workflows, catching stability issues before the lab, and making smarter development decisions that save time, material, and money.
Connect with Giuseppe Licari:
LinkedIn: www.linkedin.com/in/giuseppe-licari
Next step:
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