01 MODEL
Make the system legible
Turn a biological or physical intuition into a structure that can be inspected, challenged, and improved.
Browse models →Open research workspace / 01
Where ideas become models, code & motion.
A curated launchpad for mathematical modelling, computational biology, and the small tools that help a good question travel further.
FIELD MAP / 2026 in flow
model
simulate
share
signal →
complexity ↑
04research lanes
∞questions ahead
QuestionModelComputeLearnReturn to the question
A field guide for computational curiosity
A small sea of tools
for big questions.
The useful stuff sits between disciplines. Start with a model, test it with computation, then keep the trail of what you learned.
02 COMPUTE
Give ideas a test run
Small scripts, visual tools, and software islands for moving from an elegant thought to a useful result.
Open the toolkit →03 LEARN
Keep the trail open
Notes, tutorials, and a living reading list for the concepts that make the next experiment easier.
Read the notes →The working set
Useful by design.
A few doors into the larger collection. Follow whichever one matches the question in front of you.
FEATURED REPO↗
mriSeg
Explore the dataset and segmentation workbench, then jump into the code and build from there.
Open repository ↗Keep learning in public
Notes from the edge
of the notebook.
FIELD NOTES01Open the notebook ↗TUTORIAL02
Ideas are better when they leave a trace.
Reading notes, working explanations, and small discoveries collected as the work moves.
Advanced parallel R
Patterns for making parallel computation feel less mysterious.
Read note →REFERENCE03HPC3DOC
A practical map for working with high-performance computing.
Open reference →LEARNING04Learning by codes
Build understanding one runnable example at a time.
Visit the repo ↗Voices from the field
Keep the
good voices close.
The tools change quickly. The questions—and the people who ask them well—still matter.
The reading room
Look around.
Find a new angle.
Preprints, journals, collections, and signals worth keeping close. The outside world is part of the workspace.
Open the collection ↗A simple mental model
Three software islands.
One connected journey.
Math, collection, software. Different shores, same direction: helping a question become more precise.
Visit a survival analysis guide ↗Model
Make the invisible structure visible.
Collect
Bring evidence and context together.
Ship
Turn a result into something reusable.
A good place to begin
Take the next
small step.
There is no fixed route through the sea. Pick a tool, follow a note, or open the repositories and see what catches.
Start at GitHub ↗