computation · living systems
The virtual cell company.
A virtual cell is a computational model of living cells that helps scientists reason about what may change before the next experiment begins.
Galen is building toward a future where disease can be understood from first principles and biology can be designed with precision.
predictask what may change
measureground every claim in experiment
learnlet results sharpen the model
designturn understanding into deliberate change
why now
Biology can now be measured at extraordinary resolution. The next leap is knowing what will change.
Biology has maps of cellular state and laboratories that can test reality. The missing layer is a way to reason about which change is worth testing next.
Living systems are adaptive, context-dependent, and difficult to control. A useful virtual cell must therefore stay close to experiment: prediction first, measurement always, learning next.
Galen starts at the cell because that is where biological change becomes measurable enough to reason about and, eventually, design with.
the loop
Predict, measure, learn, design.
A virtual cell should not replace experiment. It should make the next experiment more deliberate by turning cellular state into a claim that can be measured, corrected, and used to ask a sharper question.
- 01
Predict
Ask what may change before the next experiment begins.
- 02
Measure
Let physical biology decide what the model got right.
- 03
Learn
Use each result to sharpen the next question.
- 04
Design
Turn measured understanding into deliberate biological work.
the virtual cell
A model for what
changes when biology is changed.
The point is not to describe a cell as it already is. The point is to reason about what happens under intervention, while keeping every useful claim answerable to measurement.
01
State
Represent living cells in a form scientists can reason with.
02
Change
Ask how that state may move when biology is perturbed.
03
Evidence
Use measurement to decide what the model should trust, revise, or learn next.
what it changes
Spend physical biology on stronger questions.
The cost of biological work is not only the price of an experiment. It is the time spent testing ideas before the system has made clear which ideas deserve reality next.
Galen is building toward a different order of operations: ask the question in computation, commit the strongest claims to experiment, and let the result improve the next design.
- Less blind search
- Use models to compare possible changes before committing lab time, budget, and cells.
- Better uncertainty
- Make ignorance visible so the next measurement can reduce it.
- More deliberate design
- Move from observing life toward designing with living systems, one measured claim at a time.
work with us
Build the future of biology with us.
If you are building, funding, or partnering around virtual cells, programmable biology, scientific software, or the interface of computation and living systems, we want to hear from you.
Galen is for scientists, engineers, partners, funders, and long-term company builders who believe biology should become more predictable, more measurable, and more deliberately designed.