Smart Biotech Scientist | The CMC and Bioprocessing Podcast for Process Development and Manufacturing Leaders

For decades, drug development has been saddled with costly manufacturing, stringent biosafety requirements, and the limits of conventional carriers. But a new approach—born from cell-derived nanovesicles—could democratize access to advanced therapies and open entirely new doors for oral, topical, and even global vaccine delivery.
This week, David Brühlmann welcomes Christopher Locher, CEO and Co-founder of Versatope Therapeutics. Christopher has shaped the translation of novel vesicle technology from idea to clinical pipeline, navigating both the science and the unstructured realm of first-in-class GMP manufacturing.
Topics discussed:
Tackling GMP manufacturing challenges and analytics development from scratch (00:34)
Deciding what to outsource vs. insource as a small biotech, and the value of a robust tech transfer process (02:25)
Perspectives on partnering with CDMOs versus managing manufacturing and analytics in-house (02:40)
Geographic expansion goals and considerations for delivering low-cost biologics in underserved markets (04:26)
Differentiators of Versatope’s platform—endotoxin-free processes and non-pathogenic strains (05:05)
Key advice on critical quality attributes and early regulatory planning for Phase 1 readiness (06:19)
Lessons learned as a biotech founder—getting support, leveraging networks, and planning cost-effectively (07:57)
Understanding end users, leveraging I-Corps™, and customer discovery in early product development (09:04)
The science and promise of engineered nanovesicles: delivery routes, biological origins, and research applications (10:12)
Business models for platform out-licensing and potential for co-development partnerships (12:58)
Practical takeaways for scientists: setting "good enough" standards and focusing on lean, regulatory-aligned development (13:28)
Smart insight: Christopher is honest about his blind spots, learning on the fly from CMC consultants, and the practical importance of “good enough” regulatory solutions delivers sharp advice for anyone charting the long road from discovery to human trials. Think monoclonal analytics, batch consistency, and the art of prioritization, all from someone who’s made it work with a small team and limited resources
If Christopher's vesicle platform has you thinking about building a novel modality on an unconventional host, these four episodes go deeper on alternative production systems, microbial scale-up, and the CMC and cost decisions that get a first-in-class biologic to patients.
Episodes 217 - 218: Silkworm Biomanufacturing: From Ancient Silk Production to Phase I Vaccine Trials with Masafumi Osawa
Episodes 239 - 240: Continuous Microbial Manufacturing: From Genetic Instability to 40-Day E. coli Processes with Juergen Mairhofer
Episodes 231 - 232: From IND to BLA: The Biologics CMC Decisions That Determine Regulatory Success with Henri Kornmann
Episodes 267 - 268: Why Affordable Insulin Is a Money Problem, Not a Science Problem with Eric Moyal
Connect with Christopher Locher:
Website: www.versatope.com
LinkedIn: www.linkedin.com/in/christopher-locher-biotech
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What if the best way to unlock durable, broad-spectrum immunity is to rethink the very vessels delivering our vaccines?
While much of the industry focuses on refining existing delivery systems, Christopher Locher is charting a new course—one inspired by nature’s own couriers. Imagine a future where oral vaccines and modular, on-demand manufacturing aren’t just possibilities, but standard practice.
Christopher Locher, CEO and Co-founder of Versatope Therapeutics, brings decades of experience in drug discovery from Vertex Pharmaceuticals, Opsona Therapeutics, and Maxigen. In this episode, he shares his journey from high school science classrooms to the helm of a company pioneering recombinant extracellular transport vesicles—nanovesicles that promise to transform vaccine delivery and immunomodulation.
Topics discussed:
How basic scientific curiosity and the inspiration from teachers sparked Christopher's career in biotechnology (03:39)
The unmet needs in vaccine development for infectious and parasitic diseases, especially in regions below the equator (04:17)
Engineering nanovesicles as immunomodulators and drug delivery vehicles, using microbial bioreactors for production (06:38)
Co-producing proteins and vesicles in a single process, and the flexibility of the platform (08:28)
Key benefits of Versatope's platform, such as cost efficiency, stability, and commercial scalability compared to mammalian exosomes (09:53)
Prospects for multi-specific vaccines and the future direction for scalable bioprocessing (11:47)
Adapting manufacturing processes and overcoming logistical challenges—from COVID-related shutdowns to supply chain bottlenecks (12:21)
Strategies for navigating evolving regulatory requirements with agencies like the FDA, and experience with fast IND allowance (14:53)
Analytical and characterization challenges of complex nanovesicle-based products versus simpler platforms like antibodies (17:30)
The vision for decentralized or local vaccine manufacturing, especially in resource-limited settings (19:12)
Smart insight: Christopher Locher highlighted that the FDA allowed their IND submission for a universal influenza vaccine in less than a month after review—and notably, with no hold clinical questions—when it was submitted just before the Christmas holidays and allowed on January 19th, 2025. This rapid regulatory turn-around was made possible by a strong regulatory team and collaborative CDMO efforts, showcasing how innovative platforms and well-prepared submissions can accelerate early-stage clinical development in biotech.
If Christopher's vesicle platform has you thinking about building a novel modality on an unconventional host, these four episodes go deeper on alternative production systems, microbial scale-up, and the CMC and cost decisions that get a first-in-class biologic to patients.
Episodes 217 - 218: Silkworm Biomanufacturing: From Ancient Silk Production to Phase I Vaccine Trials with Masafumi Osawa
Episodes 239 - 240: Continuous Microbial Manufacturing: From Genetic Instability to 40-Day E. coli Processes with Juergen Mairhofer
Episodes 231 - 232: From IND to BLA: The Biologics CMC Decisions That Determine Regulatory Success with Henri Kornmann
Episodes 267 - 268: Why Affordable Insulin Is a Money Problem, Not a Science Problem with Eric Moyal
Connect with Christopher Locher:
Website: www.versatope.com
LinkedIn: www.linkedin.com/in/christopher-locher-biotech
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How do you take a model that works in process development and get it accepted for use in GMP manufacturing? That question stalls most bioprocess modeling projects before they start. Ignasi Bofarull-Manzano, Senior Data Scientist and CMC Consultant at Körber Pharma, pushes back on the premise: the process you run today is already governed by a mathematical model, fitted once at small scale during process characterization and then left untouched for years, even as the process shifts.
Part 1 separated digital models from digital shadows and digital twins, and made the case for starting with the decision rather than the data. Part 2 goes into the plant: what regulators actually require, what the numbers looked like on a real biologics process, and where a team should start on Monday morning.
Topics covered:
Core differences—and surprising similarities—between modeling in development versus manufacturing (02:35)
Regulatory requirements: credibility assessments, model risk, and validation steps for digital twins (05:07)
Real-world example: How deploying an end-to-end process model led to 35% yield increase for Takeda, and considerations for ROI in manufacturing (08:34)
Advice for startup leaders on when to invest in modeling and how to scale efforts case-by-case (11:42)
Steps for scientists new to modeling: identifying bottlenecks, starting simple, and proving value offline before scaling up (12:26)
The importance of understanding basic statistics before relying on AI-generated models (15:22)
A stepwise summary for deploying digital modeling effectively in biotech (16:01)
Smart insight: The digital twin is the last step, not the first. Identify the bottleneck, build the simplest model that supports the decision, and concatenate it end to end so you can see how a parameter moves final drug substance quality rather than one unit operation's output. Prove the value offline. Only then connect interfaces, because that is where the cost and the validation burden live. Teams that lead with the twin arrive at the C-level with a proof of concept and no evidence. Teams that lead with the offline model arrive with a number.
Before a digital twin can earn its keep, you need connected data, the right model, and a clear decision for it to support. These four episodes cover that ground — data silos, hybrid and mechanistic modeling, and twins built to survive regulatory scrutiny.
Episodes 215 - 216: From Data Silos to Autonomous Biomanufacturing: Digital Twins and AI-Driven Scale-Up with Ilya Burkov
Episodes 05 - 06: Hybrid Modeling: The Key to Smarter Bioprocessing with Michael Sokolov
Episodes 17 - 18: How Extracting Gold From Your Data Accelerates Process Development with Ioscani Jiménez del Val
Episodes 263 - 264: Why AI and Automation Tools Won't Deliver Until Your Lab's Data Is Connected with David Hardy
Connect with Ignasi Bofarull-Manzano:
LinkedIn: www.linkedin.com/in/ignasi-bofarull
Körber Pharma website: www.koerber-pharma.com
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Most bioprocess teams believe a digital twin demands vast datasets and sophisticated models. Ignasi Bofarull-Manzano argues both assumptions are wrong, and that the data already sitting in your Excel files, historians and ELNs is probably enough to start.
Ignasi Bofarull-Manzano, Senior Data Scientist and CMC Consultant at Körber Pharma, breaks down what a digital twin actually is, where modeling pays back fastest across the product lifecycle, and how to tell a real business case from an expensive proof of concept.
In this episode:
Misconceptions about data requirements for digital twins—why quality and context of data matter more than sheer quantity (02:40)
Ignasi’s journey from curiosity in biology to a career in data science, modeling, and digital twins (04:31)
Clear distinctions between digital models, digital shadows, and digital twins, explained with real-world analogies (06:42)
How to approach digital development when faced with legacy data silos and scattered analytics (09:56)
The importance of starting with a focused business need instead of chasing trends or buzzwords (12:28)
Insights into where modeling truly delivers value in the product lifecycle—development versus manufacturing (13:11)
Strategies for small companies to leverage digitalization and data from the ground up (15:56)
An accessible overview of physics-informed AI, physical AI, and hybrid modeling—and their application in bioprocessing (18:15)
The comparative advantages of physics-informed AI versus hybrid models in different bioprocessing contexts (24:45)
Smart insight: Do not start with the model. Start with the bottleneck. Identify the business need first, then the decision the model must support, then the minimum data required for that context of use. Build the model offline, concatenate it end to end across unit operations rather than optimizing one in isolation, and prove the value before connecting a single interface. Teams that skip this sequence end up building models because models sound impressive, and those projects get expensive before they get useful.
Before a digital twin can earn its keep, you need connected data, the right model, and a clear decision for it to support. These four episodes cover that ground — data silos, hybrid and mechanistic modeling, and twins built to survive regulatory scrutiny.
Episodes 215 - 216: From Data Silos to Autonomous Biomanufacturing: Digital Twins and AI-Driven Scale-Up with Ilya Burkov
Episodes 05 - 06: Hybrid Modeling: The Key to Smarter Bioprocessing with Michael Sokolov
Episodes 17 - 18: How Extracting Gold From Your Data Accelerates Process Development with Ioscani Jiménez del Val
Episodes 263 - 264: Why AI and Automation Tools Won't Deliver Until Your Lab's Data Is Connected with David Hardy
Connect with Ignasi Bofarull-Manzano:
LinkedIn: www.linkedin.com/in/ignasi-bofarull
Körber Pharma website: www.koerber-pharma.com
Support the show

How do you turn a lab-born regenerative medical device into a solution that surgeons actually want to use and investors want to back? The path from academic innovation to clinical adoption is full of practical hurdles and strategic pivots, where compelling science alone isn’t enough.
David Brühlmann welcomes back Eva-Maria Balet, whose journey spans tissue engineering research at EPFL to leading Regenosca through first-in-human trials, fundraising, and an executive MBA completed while running the company. This conversation covers the practical realities behind that journey, from quality control to clinical setbacks to investor pitches.
Topics discussed:
Defining TissueSpan’s regulatory path and quality control as a medical device (02:49)
The significance of first-in-human studies and what early clinical experience reveals (04:11)
Selecting an initial clinical indication and opportunities for technology expansion (05:50)
Realistic assessment of where soft tissue repair technologies apply—and where they do not (07:18)
The stepwise progression from in vitro to animal models in product development (08:18)
Navigating setbacks, including the impact of Covid-19 on clinical trials, and the value of adaptability (10:36)
Bridging science and business in biotech fundraising and communication (12:15)
Key takeaways from pursuing an executive MBA alongside building a biotech company (13:42)
The importance of collaboration, mindset, and meaningful networks in driving biotech innovation (15:19)
Smart insight: The transition from scientist to founder brought its own learning curve. Eva-Maria pursued an executive MBA while running Regenosca, and points to financial and business vocabulary as the skill she'd have built earlier if she could. For a technical founder or CMC lead, the lesson isn't to become a business generalist, it's that the moment you're translating a manufacturing process or clinical dataset into an investor pitch, fluency in the language of accounting, market strategy, and cost structure becomes as load-bearing as the science itself.
This week's episode with Eva-Maria Balet steps out of bioprocessing into MedTech, following a collagen scaffold from EPFL lab bench to first-in-human implant. These back-catalog picks cover similar ground: what it takes to win investor buy-in beyond the science, the discipline of turning a lab process into GMP manufacturing, why regulatory classification shapes a product's whole trajectory, and what it really takes to commercialize a lab discovery.
Episodes 259 - 260: Why Strong Science Isn't Enough to Get Funded: What Investors Actually Look For with Michael Rome
Episodes 257 - 258: Why Regulatory Affairs Belongs in Drug Design: 30 Years of CMC Lessons from Discovery to GMP Manufacturing with Milan Tomic
Episodes 105 - 106: From Proteins to Cell Therapy: Why ATMPs Aren't Just Complex Biologics with Oliver Kraemer
Episodes 183 - 184: From Lab to Market: Secrets to Commercializing Cutting-Edge Biotech Innovations with Chervee Ho
Connect with Eva-Maria Balet:
LinkedIn: www.linkedin.com/in/eva-maria-balet-72561737
Regenosca website: www.regenosca.com
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