Foundry Practice

Welcome to the Foundry Theory series finale!

Feb 6

3

January 2025

Three Lessons from a Year of Foundry Theory

After a year of studying and talking about the Ginkgo Bioworks foundry, I've learned at least 3 things.

Jan 23

19

3

Integrated Bioprocess Optimization: Gene, Host & Fermentation

I love it when a biological system can be broken down into simpler pieces.

Jan 16

2

Against Interpretability for Bio AI

Somebody smart once said that scientific theories should be made as simple as possible but not simpler.

Jan 9

17

1

The Golden Age of Protein Thermostability

Enzymes are always amazing but sometimes they can be a little squishy. Let’s ask the glowing green raccoon what we should do about that.

Jan 2

2

December 2024

3 Tips for Learning Biology as a Tech Person

You've got a background in tech and you want to get better at biology.

Dec 12, 2024

10

Diminishing vs. Scaling Returns to Biological Data

What happens when the unstoppable force of AI meets the immoveable object of biological hard tech?

Dec 5, 2024

3

2

November 2024

The PETase Mask Fill Challenge

How to Engineer Protein Sequences with AA-0 and the Ginkgo AI API

Nov 19, 2024

A Cleaner Interface for Biotech R&D

What is the structure of biotech R&D?

Nov 7, 2024

2

October 2024

Kits, Cores, Services & Progress in Biotech Workflows

Today we're talking about what drives change in biotech R&D and what might be coming next.

Oct 31, 2024

Evolved vs. Engineered Proteins in the AA-0 Model

Sequence-based LLMs learn patterns from proteins found in nature. So what happens when you want to engineer a function that's not found in nature?

Oct 17, 2024

Locks, Keys and the Limits of AI in Biology

How good is AI for biotech going to get?

Oct 3, 2024

1