Machines and Molecules
- Science · Natural Sciences
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About
Machines and Molecules hosts guests on topics from machine learning as well as bio-chemistry/biotech, and therefore bridges the gap between those worlds. The podcast covers three different categories - Knowledge, Solution and Network. Knowledge offers tutorials regarding fundamental concepts within the ML and biochem realm, Solution spotlights companies and startups implementing AI in life sciences or building AI infrastructure, and Network deep dives into investment, politics, and industry networks within this sector. The podcast is hosted by Exazyme, the AI powered protein design platform.
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Recent episodes
- Pioneering Molecular Modeling: Victor Guallar’s Insights on Monte Carlo, AI, and Biophysics
- Building Bridges in Biotech: Markus Müller on CLIB’s Role in Creating a Collaborative and Connected Bioeconomy
- Accelerating AI Innovation: Laura Möller’s Mission to Shape the Startup Ecosystem and Foster Entrepreneurship in Academia.
- Productizing Research Code: Martin Steinegger on how to create useful and reusable Software
- Driving Innovation Forward: Carlos Härtel on Deep Tech Solutions and Market Adoption
- AI Meets Protein Science: Dr. Stanislav Mazurenko on the Impact of Machine Learning in Protein Engineering
- From Molecular Dynamics to Bayesian Optimization: Matteo Aldeghi on Cutting-Edge Molecular Design
- Unlocking AI Success: Insights from Richard Socher on Startup Building and Investment Strategies
- Martin Rahmel on building the Chemical Invention Factory
- Max Welling’s quantum leap from fighter jets to Machine Learning Frontiers