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I've had many engineers ask me why its worth their time and effort to learn biology in response to this post. Why should they be excited? We are poised for a revolution in biotech that will be uniquely enabled by computers. Convince yourself by digging into the examples I... show more
113,534 views • 1 year ago •via X (Twitter)
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For anyone with a bit of time that's open to getting excited, here are a few doorways down the rabbit hole: Genomic Lang. Models - David Baker's TED talk - David Baker's Lecture at UCR - Some resources: KA bio archive - BIO101: Introduction to Molecular and Cellular Biology - Intro to Protein Structure (found this, but haven't used yet. I used KA for learning about proteins, but this book seems quite well-illustrated and a bit more detailed) - JHU Genomic Data Science Specialization (teaches the biology bit as required) - This is all I can think of right now, but will add if something comes to mind :)

What are some books/courses/etc. on biology that someone with a technical background in data science/ computer science should read in order to understand the fundamentals of this field?

Big fan of reading classic texts used in the field. They are accessible to you with focused study. Janeway + Molecular Biology of the Cell are more than enough.

Serious question: why is the pay such crap in the industry in general / if there's a biotech revolution will this change.

What software is that in the right? Looks very neat

that is latch my friend

Jensen Huang and NVIDIA engineers might be able to help. They’ve been excited about the possibilities for several years…

how about a chemist (re)learning bio and add some ML??

@BrianRoemmele @SterlingCooley
