Foundry Theorist
Here you'll find all 52 episodes of the Foundry Theory series
Foundry Theory explores biotech in the era of AI and lab automation. If you're looking for a place to start, these are some of my favorites:
> Is Machine Learning the Language of Biology? > Function Landscapes and the Limits of AI for bio > EncapS for Screening in Ultra-High Throughput > Can Biotech be Beautiful? > Hard, Bad, Bitter: Why I'm Hopeful About AI for Biology > Synthetic Biology for Carbon & Climate
FT000 – About Foundry Theory
FT001 - What is a Foundry for Biology?
FT002 - Is Machine Learning the Language of Biology?
FT003 - End to End with Circular RNA
FT004 - Machine Learning and the New Enzyme Thrift Shop
FT005 - Improving a Stubborn Enzyme with AI and Data
FT006 - Abstraction Layers and the Foundry Era of Biotech R&D
FT007 - EncapS for Screening in Ultra-High Throughput
FT008 - Better Food Proteins with EncapS
FT009 - Synthetic Biology for Carbon & Climate
FT010 - Design and Scale for Engineering Biology
FT011 - Hard, Bad, Bitter: Why I'm Hopeful About AI for Biology
FT012 - Fitter Microbes Faster with Automated ALE
FT013 - Automated Evolution of a Microbe for Sustainable Bioplastics
FT014 - What is Synthetic Biology?
FT015 - Why iGEM is the Place to See the Future of Biotech
FT016 - Metagenomic Discovery and the Size of DNA Space
FT017 - Hard Biology: Epistasis
FT018 - Function Landscapes and the Limits of AI for Bio
FT019 - An Intuition for Long-Tailed Biological Variation
FT020 - Bioproduction Scales In Powers of Ten
FT021 - Hard Biology: Viscosity
FT022 - Metabolic Control and the Art of Optimizing Complex Things
FT023 - The Biological Codebase at Ginkgo Bioworks
FT024 - Creating and Understanding Biology in the AI Era
FT025 - Engineered and Selected Microbes for Ag Biologicals
FT026 - Growing Pharmaceutical Manufacturing with Synthetic Biology
FT027 - Hard Biology: Toxicity
FT028 - Lab Data as a Service
FT029 - Can Biotech Be Beautiful?
FT030 - Atoms, Bits, and RNA
FT031 - Hard Biology: Reliability
FT032 - Engineering RNA Therapeutics with Foundry Scale
FT033 - Building Biology from Parts and Services
FT034 - Lab Automation & Human-Robot Relations
FT035 - Enriching the Haystack for Better Biotech
FT036 - Stamps, Fishing & the New Alpha Nerds
FT037 - Tacit Knowledge and the Partnering Problem in Biotech R&D
FT038 - Why Reconfigurable Lab Automation Sparks Joy
FT039 - The Bowtie Model and Complex R&D Workflows
FT040 - The Time I Fought my Lab Robots and Lost
FT041 - Locks, Keys, and the Limits of AI in Biology
FT042 - Evolved vs. Engineered Proteins in the AA-0 Model
FT043 - Kits, Cores, Services & Progress in Biotech Workflows
FT044 - A Cleaner Interface for Biotech R&D
FT045 - Diminishing vs. Scaling Returns to Biological Data
FT046 - 3 Tips for Learning Biology as a Tech Person
FT047 - The Golden Age of Protein Thermostability
FT048 - Against Interpretability for Bio AI
FT049 - Integrated Bioprocess Optimization
FT050 - Three Lessons from a Year of Foundry Theory
FT051 - Foundry Practice
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