Behavioral and computational scientist. I study how information is distributed, interpreted, and transformed through networks, and how communication structure shapes judgment, coordination, and collective behavior across human, organizational, and AI systems.
The work combines experiments, network analysis, measurement, simulation, statistical inference, and computational systems. Four lines are active: machine-agent networks, information transformation and provenance, simulation as a way of separating mechanisms that produce similar visible outcomes, and measurement of cultural structure.
| Repository | Paper |
|---|---|
| m2m-collective-belief-dynamics | Communication content and local connectivity shape collective accuracy in networks of machine agents |
| m2m-information-mutation | Communication architecture shapes information mutation in AI-agent networks |
| m2m-bavelas-groups | Communication topology shapes collective problem solving in networks of machine agents |
| structural-legibility-prototype | Message residue preserves traces of hidden communication structure |
| bfg-corrective-replicator | Error correction accelerates multi-target adaptation under compatible constraints |
| schelling-informational-assumptions | The informational assumptions of Schelling segregation |
| memes-structural-signals | Memes as structural signals |
manuscript-u recommends where to submit an academic manuscript, returning ranked journals with fit scores, desk-rejection risk, and revision culture notes grounded in data fetched at query time.
org-signal computes a social-network graph from a Slack workspace export, including betweenness and eigenvector centrality, reciprocity, and bridging, and writes reports from it. Everything runs in the browser.
ai-credibility-networked-systems is a fifteen-minute talk on credibility and evaluation in systems of interacting agents, built as a self-driving browser presentation with an animation for each of seven research questions.
Browser-native recommendation tools, each a two-stage reasoning pipeline over live web search with explicit confidence scoring. No backend, no build step.
- draft-and-beam, used sailboats
- prime-rigs, camera and lighting packages
- garden-mind, plant selection by zone, soil, and sun
- what-should-i-ride, bicycle tires
- employee-training-finder, training programs
daily-digest-script assembles a daily email and Slack digest.