Table Alignment
Host
Sam Kessel
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Summary

In this episode we are joined by Szabi Nagy, CEO and Co-Founder of Turbine. He shares his first startup experience, and how the lessons he learned there helped shape his work at Turbine. He then goes on to introduce the company’s virtual lab platform, which allows researchers to simulate experiments with AI and accelerate drug discovery. Throughout the discussion, Szabi provides honest insights into fundraising in today’s tight capital markets and offers valuable advice for biotech founders on how to stay resilient while navigating uncertainty and building impactful companies.

Show Notes

Time Stamps

1:37 Introduction to Szabi’s journey from economics to healthcare 

3:23 Szabi’s early startup experience at Tresorit 

5:27 Key takeaways from his first venture

11:46 What led Szabi to pivot into healthcare and how he managed that transition

14:37 Introduction to Turbine

17:10 Example of running large-scale experiments in collaboration with Merck 

19:17 Explanation of the main phases of application of the model 

22:32 What fundamental tenets were used to build Turbine’s model 

29:16 How to form successful partnerships

38:53 Szabi’s experience with raising funds in a tight capital market 

40:00 Advice for founders navigating this challenging market

49:20 How to find the right mentor and form a meaningful connection 

51:07 Final words of wisdom

Szabolcs Nagy - Startup Hungary | LinkedIn
Experience: Startup Hungary · Education: Corvinus University of Budapest · Location: Budapest · 500+ connections on LinkedIn. View Szabolcs Nagy’s profile on LinkedIn, a professional community of 1 billion members.
Turbine | LinkedIn
Turbine | 8,313 followers on LinkedIn. Turbine is virtualizing biological experiments with AI to accelerate drug discovery & enhance clinical translatability. | Turbine is virtualizing biological experiments with AI to accelerate drug discovery and enhance clinical translatability. We’ve spent the last decade building virtual disease models designed to ultimately become second only to the patient in predicting drug response. By simulating how cells and tissues behave under treatment, Turbine helps pharma identify the right therapeutic ideas smarter and faster, cutting years of dead-end research and reducing Phase II failure caused by poor efficacy.
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Turbine is virtualizing biological experiments with AI to accelerate drug discovery and enhance clinical translatability.
Turbine.AI
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