Method

Four moves. One fold.

A protein is useless as a loose chain and powerful once it folds. We think scientists work the same way. Scroll to watch.

Our method, in four steps

  1. ShuFollow the form

    Learn the moves exactly as working scientists make them. Copy first; question later. Right now your skills are a loose chain.

  2. HaBreak the form

    Now question everything. Change the defaults, break the pipeline, find out why it broke. Strands become helices.

  3. GembaGo where the work is

    Your skills pack together on a real project, on cloud GPUs, with your mentor reviewing every step. Stability comes from packing.

  4. RiLeave the form

    Seen from above, four helices make one mark. You stop following a course and start running your own research.

Why four helices.

A four-helix bundle is one of nature's simplest stable folds: four helices, each fragile alone, strong once packed. Ours are mentorship, compute, method and community. The orange one is you; the bundle only holds because you drive it.

YouThe learner drives
MentorshipA working scientist
ComputeReal GPUs, real jobs
CommunityA batch that pushes back

Transferable by design.

We teach skills that travel. If one door closes, they still open the next.

Python and statistics

The code that ranks ligands also sorts patient cohorts. The statistics that validate a docking run also validate an assay.

Simulation

Molecular dynamics thinking carries into materials, formulation and agrochemistry, wherever molecules move.

Machine learning

Leakage-safe models, uncertainty and active learning are wanted in every data-heavy science.

Research communication

Reading papers critically, writing reports and defending results to experts is the skill every lab hires for.

Fork

One move, two targets.

In chess, a knight's fork attacks two pieces in one move. Fork is our private opportunities board, and it puts your skills and the right opening on the same square.

Jobs and internships, funded PhD positions, research posts and seminars worth your evening, each matched to your specialisation and updated every week.

Fork is for enrolled students only. There is no public version, by design: an opening shared with everyone is no longer an opening.

Look inside Fork

A preview of the board. Details stay inside.

  • JobComputational Chemist, discovery chemistry teamStructure-Based Design
  • PhDFunded doctoral position, free-energy methodsSimulation
  • JobML Scientist, generative chemistry platformAI-Driven Discovery
  • SeminarProtein design symposium, onlineBiologics
  • PostResearch associate, cryptic pocket projectNew Modalities

Ready for your first move?

The method runs through every week of Affinity, our computational chemist training.