Six active projects spanning the full transdisciplinary spectrum — from the philosophy of consciousness to adaptive AI matching engines.
A new ontological framework: neither Mind nor Matter is fundamental. Reality is an infinite field of possibilities from which states are continuously manifested through consciousness and binary decisions.
Model cognition through sequences of mental-state representations and atomic functions rather than computational algorithms. Validated with EEG decoding experiments.
Using multilingual LLM translation behavior as a diagnostic: ambiguous sentences should translate consistently — or not at all — across all target languages.
EEG hyperscanning shows that delta/theta interbrain synchrony predicts collaborative decision outcomes — with social closeness and cumulative effects confirmed.
AI algorithms that determine which behavioral study data is most important to annotate, minimizing workload while maintaining accuracy — and feeding the GHLO pipeline.
An AI-optimized universal language — ambiguity-free, merging features from world languages, learnable. Built on the foundation of language ambiguity detection, data annotation, and RCM.
We are open to research collaboration across all projects. If you have a relevant background or complementary project, reach out.
Research Collaboration →