Expert-guided workflows
Designing research loops where professional judgement determines what to ask, what to test, when to escalate, and when to stop.
Expertise-guided AI-assisted science
AlphaScience Lab
We explore how scientific expertise can guide AI systems toward more rigorous, auditable, and responsible discovery workflows.
Mission
Human judgement. AI execution.
AlphaScience Lab is focused on AI-assisted scientific discovery under expert governance. Our goal is not to replace scientific judgement, but to increase the scale at which careful researchers can formulate questions, test assumptions, inspect evidence, and refine claims.
We are developing workflows where AI helps with search, coding, analysis, visualization, and synthesis, while human researchers remain responsible for framing, validation, interpretation, authorship, and publication decisions.
Research Agenda
A lab for careful acceleration, not unchecked automation.
Our early work is organized around the practical question of how AI can support stronger scientific reasoning without weakening evidence standards.
Auditable execution
Preserving the files, commands, figures, checks, and decision points needed to understand how a scientific claim was produced.
Bounded claims
Connecting each conclusion to the evidence that supports it, and making the limits of current evidence visible.
Principles
Scientific ambition should come with traceability.
- Human responsibility AI systems assist the work; researchers govern the claim.
- Evidence before narrative Outputs are useful only when they can be checked, repeated, and bounded.
- Conservative public claims Unpublished work should be described by goals and standards, not overstated results.
Contact
alphascience-lab.com
AlphaScience Lab is preparing its first public research outputs. For collaboration or correspondence, contact the lab by email.
contact@alphascience-lab.com