Problem first
Choose a method because it addresses a defined scientific need, not because it carries a particular label.
Technology & approach
We combine the pattern-finding power of AI with physical reasoning to investigate problems that cross the boundaries of conventional disciplines.
The scientific loop
Different questions demand different representations, assumptions, and standards of evidence.
Our approach is to define the scientific question first, identify what can be learned from data and what must be modeled, then choose evaluations that could prove the approach wrong. Models, physical reasoning, and evidence inform one another.
Explore the approach
Explore representations of biological sequences, molecular structures, and scientific evidence. The aim is to identify useful patterns while making data quality, uncertainty, and the limits of generalization visible.
What it should produce
A hypothesis that can be inspected and challenged.
Quantum, with purpose
Quantum physics describes the behavior underlying molecular systems. Quantum computing is one possible computational approach—not a shortcut to a scientific conclusion.
Our research ambition includes exploring how quantum descriptions and emerging computational methods can contribute to molecular understanding. Any practical benefit must be assessed against relevant alternatives, with attention to accuracy, resources, and the actual research task.
Read our perspective on quantum methodsChoose a method because it addresses a defined scientific need, not because it carries a particular label.
A new approach needs a fair comparison with appropriate existing methods, under clearly described conditions.
Knowing where a model is unreliable helps identify what evidence or experiment is needed next.
Bring a scientific challenge. Let’s explore what becomes possible when disciplines work together.
Start a collaboration