Jun (Joel) He, PhD
Engineering sovereign AI control planes for critical institutions that cannot delegate final authority.
Years in Distributed Systems
Systems Publications
Engineers Directed
"A sovereign system is not safe because a model behaves correctly. It is safe because no model can cross the execution boundary without deterministic admission."
Sovereign Compute Is Complete Only When Execution Is Sovereign
Localized infrastructure secures where models and data reside. Autonomous operations must also govern who may act, under which policy, and with what evidence. Three risks remain beyond the data-center boundary:
Data Residency ≠ Sovereignty
Local weights and data do not guarantee autonomy if models remain subject to external policies, remote updates, or de-platforming. Sovereignty begins with an in-jurisdiction execution control plane.
Cognitive Supply Chain Risk
No external or black-box model should hold standing credentials over critical systems. Every proposed state mutation must pass deterministic local policy gates.
Institutional Amnesia & Drift
Model upgrades can sever compliance trails, memory lineage, and audited behavior. Governed cognitive lineage preserves continuity across every substrate change.
Govern What Acts. Preserve Who Acts.
PDDS governs the boundary between intent and execution. PCI preserves the identity, memory, and authority of the reasoning entity across every model and substrate change.
PDDS — Post-Deterministic Distributed Systems
Governs Action · Neutralizes Stochastic Drift
Treats every model output as an unvalidated proposal. PDDS evaluates proposed operations against local policy engines before granting ephemeral, scoped execution tokens. No model receives standing execution authority.
PCI — Persistent Cognitive Identity
Governs Lineage · Neutralizes Model Vendor Lock-In
Preserves continuous institutional memory, consent states, and fiduciary compliance as models upgrade across generations or migrate between foreign clouds and sovereign execution enclaves.
Formal Rigor. Operational Scale.
Princeton University
PhD, Distributed Networks & Optimization Theory · Formal mathematical basis
Amazon Web Services (AWS)
Directed 200+ control plane engineers on global cloud infrastructure
PDDS & OpenKedge Protocol
Authored the core consensus paradigm for deterministic governance of probabilistic AI actors
Persistent Cognitive Identity (PCI)
arXiv:2608.11632 & arXiv:2609.02127 — Governed cognitive lineage and fiduciary continuity across model upgrades
National-Scale Autonomy Without Operational Exposure
Leverage frontier reasoning from any global or domestic provider without relinquishing control over proprietary data, operational APIs, or physical execution rights.
Air-Gapped Cognitive Boundaries
Permitting frontier reasoning over industrial telemetry without exposing raw sovereign data, credentials, or physical actuators.
Federated Sovereign Topologies
Connecting multi-agency systems under shared assurance while each domain retains independent, immutable roots of authority.
Cognitive Identity & Succession
Preserving organizational memory, policy compliance, and audit lineage across generations of AI models and substrates.
Tamper-Evident Evidence Chronology
Cryptographically sealing every proposed intent, policy validation, and execution result into durable evidence chains.
Design the Sovereign Control Boundary
Engage on sovereign AI reference architectures, PDDS control plane deployment, PCI identity governance, or executive briefings for state enterprises, sovereign wealth funds, and national infrastructure.