Find the intuition.
Clear explanations, useful questions, and connections to what you already know. Build a mental model before a machine learning model.
Molecules
& Models.
A small world. A world of possibilities.
Explore chemistry, biology, and machine learning through free, hands-on lessons.
01 THE COURSE MAP
Start somewhere.
Go somewhere new.
Build your foundations, then follow the connections into molecules, living systems, and the models that help us understand them.
I Foundations From scientific Python to the language of machine learning. 3 chapters available
II Cheminformatics Turn molecular structures into data, predictions, and insight. In development
III Bioinformatics Explore sequences, living systems, and the patterns within. In development
IV Generative models Connect generative models with the design of new molecules. In development
View the full course map
available now coming soonClick a station to open the chapter.Swipe sideways to see the whole map.
02 THE CREATOR’S NOTE
Good questions
lead to
unexpected places.
Hello, I’m Rostislav.
Chemistry, biology, and machine learning meet in fascinating ways. I’m writing these notes to make those ideas easier to explore, and to share what I learn along the way.
I’m a chemical engineering graduate now studying bioinformatics. My experience in computational chemistry, data science, and AI engineering has made me curious about the connections between these fields.
This is a growing collection of ideas, experiments, and things I wish I’d understood sooner. If you’re curious too, you’re in the right place.
03 THE WAY WE LEARN
Ideas are just the beginning.
Make them your own.
Bring your background in code, chemistry, biology, or maths. Build the connections you’re missing.
Get your hands on it.
Run real code, explore real datasets, and open the labs in Colab. Change something. See what happens. Learn from the result.
Make the next connection.
Test your intuition with exercises, reveal solutions when you’re ready, and carry what you’ve learned into a new discipline.
There’s a whole world
in the small things.
Basic Python. Introductory maths. A willingness to explore.
No GPU or paid services required.
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