Table of Contents
The following is a compilation of the resources I have used to learn what I’ve felt necessary to guide my research. The subjects covered here span biology, physics and the more narrow disciplines inbetween.
Everything here is limited to what I’ve consumed. I wouldn’t recommend anything that I haven’t personally spent time with. That being said, there are a ton of great resources out there these days, so this list is far from exhaustive.
I didn’t include any ‘popular science’ books here, but if you’d like to browse the higher level things I’ve read, you can check out my book list here.
If you have questions on any of the below, or want to talk about something here you’ve read, send me a note.
In order of what I read.
- Molecular Biology of the Cell
- An Introduction to Systems Biology: Design Principles of Biological Circuits
- Cellular Physiology of Nerve and Muscle
- Fundamentals of Physics
- Networks, Crowds, and Markets: Reasoning about a Highly Connected World
- The Mathematical Theory of Communication
- Gödel, Escher, Bach: An Eternal Golden Braid 1
- The Entrepreneur’s Guide to a Biotech Startup
- Biological Physics: Energy, Information, Life
Many of the above textbooks are expensive, but you can find free PDFs online in places like the Internet Archive.
If you are under 18 and can’t afford a copy of something you see here, send me an email.
In order of importance to my current work.
- Computational Bioelectricity (EE 123)
- Foundations Of Computational And Systems Biology (MIT 7.91J)
- Machine Learning A-Z™: AI, Python & R
- Information Theory, Pattern Recognition, and Neural Networks
Great places to ask questions and meet others learning independently.
If you have the budget, an hour of a tutor’s time can help save you hours of independent study to understand a given concept or subject.
I’ve found Preply to be a great outlet for finding on-demand tutors for any given subject. Don’t let the home page fool you, it’s not just for language tutors. I’ve used it for physics, biology, data science and yes, Ukranian.
Thank you Nick Cizek for the time & support in calculus.
I debated whether or not to include this given that it is more of a ‘popular science’ read than a textbook. However, there are whole university courses structured around this book and so that let it pass the bar for me. ↩︎