Future Systems Lab is a disruptive digital systems laboratory focused on designing and prototyping
next-generation, privacy-first infrastructure for emerging and regulated verticals.
The lab operates at the convergence of:
- Digital health & health data infrastructure
- Decentralized identity, consent, and data sovereignty
- Blockchain-based governance and verification layers
- AI-assisted analytics and decision systems
- Secure, interoperable system architecture
Future Systems Lab serves as a technical portfolio, research archive, and selective open-source environment for evolutionary prototype systems that challenge legacy models and anticipate future regulatory, technical, and ethical constraints.
To architect and validate disruptive, vertically integrated systems that redefine how data, identity, and trust are managed across complex ecosystems.
A future where:
- Individuals and organizations retain sovereign control over their data
- Consent and authorization are explicit, verifiable, and portable
- Infrastructure is interoperable, modular, and governance-aware by design
- Systems evolve alongside regulation, rather than react to it
Privacy-first consent, identity, and analytics infrastructure
FHIR/HL7-aware • Wallet-based • Governance-ready
Gamified mental-wellness education using tokenized progress and trauma-informed design
Wearable-inspired R&D exploring consent-aware biosensing and educational neurochemical modeling
Future Systems Lab systems are designed as a layered, modular architecture:
- Blockchain & identity layer
- Security & privacy layer
- Data & analytics layer
- Wearables & sensor layer
- AI / educational modeling layer
Detailed architecture diagrams, Mermaid source files, ERDs, and implementation notes are maintained in private, invite-only repositories to protect:
- Pre-commercial IP
- Security and threat models
- Governance and compliance logic
Access is available to recruiters, academic reviewers, and partners upon request.
Constraint-driven systems architecture case study exploring a modular, wireless dental diagnostics ecosystem. This work examines film-less intraoral imaging and non-ionizing periodontal sensing as complementary diagnostic modalities within a shared architectural framework.
The case study focuses on system-level design decisions including embedded sensing, on-device preprocessing, packetized wireless data transmission, ergonomic and constraint-aware form factors, holistic material responsibility, and regulatory-aware design boundaries. Emphasis is placed on how multiple diagnostic devices can operate cohesively within a unified ecosystem while remaining modular and independently deployable.
This work is presented as an architectural and systems exploration rather than a commercial device specification. Detailed technical documentation is maintained privately and available upon request.
- HIPAA-informed: no PHI on-chain
- GDPR-aligned: data minimization, revocation events
- ALCOA principles: attributable, legible, contemporaneous, original, accurate
All systems are designed to support auditability without clinical exposure.
Early portfolio artifact exploring privacy-first wellness services and ethical UX.
Status: Retired / Educational reference only.
Applied retail systems case study focused on transparency, COA verification, and product lifecycle integrity.
Represents foundational work that informed later digital health infrastructure.
- secure-health-login (wallet authentication, EIP-712 patterns)
- openmrs-core (open EHR ecosystem)
- duneanalytics/spellbook (on-chain analytics)
- ehrbase (open EHR platform)
This organization showcases research, prototypes, and portfolio systems.
Nothing here constitutes medical advice, clinical services, or deployed healthcare infrastructure.
© 2025 Future Systems Lab
All rights reserved. Unlicensed.