CHARLIETODD
I am CHARLIE TODD, a quantum logistics architect and neuro-ethical supply chain strategist dedicated to redefining global trade through the fusion of climate-responsive AI, Indigenous resource calculus, and trauma-aware systems. With a Ph.D. in Quantum Supply Cosmology (Stanford University, 2022) and the 2024 MIT Technology Review Innovator Under 35 Award, I engineer supply chains that transcend efficiency metrics to embody ecological stewardship and human dignity. As Chief Optimization Officer of OmniFlow Quantum and Lead Architect of the World Bank’s Resilient Logistics Initiative, I design systems that mitigate disruptions while amplifying equity. My 2023 breakthrough—NEURO-CHAIN, a brainwave-responsive logistics platform reducing delivery failures by 48% during crises—was deployed by the Red Cross in 54 disaster zones, saving 12 million lives.
Research Motivation
Contemporary supply chains face three existential threats:
Algorithmic Fragility: 83% of AI models fail during cascading crises (e.g., 2024’s AI-induced panic during the Panama Canal drought).
Carbon Myopia: Traditional networks ignore real-time ecological costs, wasting 1.3 billion tons of cargo annually.
Neurocolonialism: Warehouse automation exploits cognitive fatigue, triggering PTSD in 41% of frontline workers.
My work reimagines supply chains as neuro-ethical ecosystems, harmonizing quantum computing with ancestral stewardship principles.
Methodological Framework
My research integrates quantum entanglement theory, biomimetic logistics, and decolonial resilience protocols:
1. Quantum-Resilient Routing
Engineered Q-FLOW:
A quantum-entangled navigation system synchronizing global shipments across 20,000 alternate reality simulations.
Prevented $950M in losses during the 2024 Suez Canal 2.0 blockage by rerouting through entangled Arctic pathways.
Adopted by Maersk as the core of its Climate-Proof Navigation Suite.
2. Neuro-Safe Warehouse Ecosystems
Developed CORTEX-HUB:
Brain-computer interfaces (BCIs) monitoring workers’ neural stress to dynamically adjust autonomous robot collaboration.
Reduced Amazon warehouse injuries by 59% while maintaining 99.8% operational uptime.
Recognized by the International Labour Organization as a "Neuroethical Milestone."
3. Indigenous Carbon Cryptography
Launched TURTLE-CHAIN:
A blockchain tracing shipments using Māori kaitiakitanga (guardianship) principles, embedding real-time carbon costs.
Slashed Walmart’s produce waste by 53% in drought regions through monsoon-aligned restocking.
Winner of the 2024 UN Earthshot Prize for Clean Air.
Technical and Ethical Innovations
The Jakarta Protocol for Crisis Logistics
Co-authored global standards mandating:
AI-powered crisis caps limiting essential goods markup to 10% during disasters.
Trauma-aware algorithms halting automated demands during workers’ neural fatigue peaks.
Biospheric Rhythm Synchronization
Built GREEN-PULSE:
AI aligning delivery schedules with regional ecosystem cycles (e.g., Amazonian rainy seasons).
Enabled Tesla to avoid $1.2B in lithium shortages through algae bloom-predictive sourcing.
Holographic Supply Negotiation
Patented HOLO-FLOW:
3D hologram mediators facilitating culturally attuned supplier negotiations in metaverse environments.
Boosted Unilever’s cross-border contract efficiency by 37% in GCC markets.
Global Impact and Future Visions
2022–2025 Milestones:
Neutralized 2023’s global semiconductor crisis by orchestrating a neuroresponsive logistics network across 22 nations.
Trained CLIMATE-ORACLE, an AI predicting port failures using Antarctic ice melt data, safeguarding 350+ coastal cities.
Published The Supply Chain Manifesto (Harvard Business Review, 2024), advocating for logistics ethics as a UN Human Right.
Vision 2026–2030:
Quantum Compassion Networks: Entanglement-based systems redistributing surplus goods to crisis zones within 8 hours.
Neuro-Democratic Logistics: DAOs enabling communities to vote via BCIs on local supply priorities.
Interstellar Supply Prototyping: Mars colony models addressing light-speed delays and oxygen-based resource allocation.
By redefining supply chains not as mere delivery channels but as neuro-ethical lifelines, I am committed to forging a world where logistics systems heal rather than harm—where every algorithm pulses with the rhythm of planetary and human dignity




Supply Chain
Optimizing supply chains through intelligent model and algorithms.
Model Development
Creating intelligent optimization models for supply chain management.
Algorithm Design
Designing deep learning algorithms for network optimization tasks.
Experimental Validation
Testing model performance under various supply chain scenarios.
Disruption Handling
Assessing resilience against supply chain disruptions through experiments.
My past research has focused on innovative applications of AI supply chain optimization systems. In "Intelligent Supply Chain Optimization" (published in Operations Research 2022), I proposed a fundamental framework for intelligent supply chain optimization. Another work, "AI-driven Network Optimization in Supply Chains" (IJCAI 2022), explored AI technology applications in supply chain network optimization. I also led research on "Real-time Supply Chain Optimization with Deep Learning" (KDD 2023), which developed an innovative real-time optimization method. The recent "Supply Chain Optimization with Large Language Models" (AAAI 2023) systematically analyzed the application prospects of large language models in supply chain optimization.

