Research Directions
Our research spans five interconnected areas. Each direction informs the others, and projects often span multiple domains.
AI-native Science
Developing computational methods for automated scientific discovery and theory formation.
- • Automated hypothesis generation and validation systems
- • Symbolic reasoning combined with neural approximation
- • Meta-learning for scientific methodology
- • Computational frameworks for theory construction
- • Integration of formal verification in discovery pipelines
Fundamental Reality & Causality
Investigating the deep structures underlying physical and informational systems.
- • Mathematical foundations of causality and counterfactuals
- • Information-theoretic approaches to physical law
- • Computational models of emergence and reduction
- • Formal theories of observation and measurement
- • Bridging quantum foundations and computational theory
Large-scale Multi-Agent Systems
Building frameworks for coordination and emergence in agent civilizations.
- • Scalable coordination protocols for heterogeneous agents
- • Economic mechanisms for resource allocation and incentive alignment
- • Emergent behavior analysis in complex agent ecologies
- • Communication systems for massively parallel agents
- • Governance structures for autonomous collectives
Simulation & Synthetic Worlds
Creating controlled environments for testing theories and conducting experiments.
- • High-fidelity physics and social simulation engines
- • Frameworks for reproducible synthetic experiments
- • Tools for exploring counterfactual scenarios
- • Environments for training and evaluating AI systems
- • Benchmarks for scientific and engineering theories
Applied Abstractions
Translating formal structures into practical computational systems.
- • Programming languages embedding formal guarantees
- • Category-theoretic system design patterns
- • Type systems for distributed and concurrent computation
- • Formal methods for system verification and synthesis
- • Bridging mathematical abstraction and efficient implementation