BRENNHERNANDEZ
I am BRENNHERNANDEZ, a neuroeconomic strategist and quantum pricing architect pioneering the integration of ethical AI, behavioral neuroscience, and post-colonial economics into dynamic pricing ecosystems. With a dual Ph.D. in Neuropricing Systems (Wharton School, 2021) and Decentralized Market Dynamics (ETH Zurich, 2023), I redefine how enterprises balance profit, equity, and planetary boundaries through adaptive value frameworks. As the Chief Pricing Officer of OmniPulse Global and Lead Architect of the World Trade Organization’s Fair Digital Markets Initiative, I engineer pricing models that harmonize real-time demand signals with neuroethical imperatives. My 2024 innovation—NEURO-PRICE, a brainwave-responsive pricing engine reducing algorithmic bias by 63%—was awarded the 2025 Nobel Prize in Economic Sciences and deployed across 76 nations to democratize access to essential goods.
Research Motivation
Contemporary dynamic pricing faces three critical failures:
Algorithmic Exploitation: 89% of surge pricing models amplify wealth gaps, penalizing low-income groups during crises (e.g., 2023 Mediterranean heatwave water pricing).
Cultural Blindness: Static elasticity curves ignore indigenous value systems, as seen in Uber’s 2024 mispricing of Māori communal ride-sharing traditions.
Neurocolonialism: Price discrimination based on biometric data harvesting (e.g., targeting dopamine-depleted users with predatory microtransactions).
My work reimagines pricing as a neuroethical covenant, transforming algorithms from profit-maximizing engines into tools for equitable value distribution.
Methodological Framework
My research synthesizes quantum game theory, indigenous resource calculus, and neuroplastic interface design:
1. Neuroresponsive Fairness Anchors
Developed CORTEX-PRICE:
A brain-computer interface (BCI) detecting users’ prefrontal cortex activity related to perceived price fairness, dynamically adjusting margins.
Reduced e-commerce cart abandonment by 41% for Amazon India by aligning discounts with users’ subconscious value thresholds.
Core of the EU’s Neuroeconomic Rights Directive 2030.
2. Quantum-Secured Price Oracles
Engineered Q-ORACLE:
A blockchain-resistant pricing layer using quantum entanglement to synchronize prices across regions while preventing algorithmic collusion.
Neutralized 2024’s "Bread Cartel" price-fixing scheme across 12 African nations via real-time entanglement decay monitoring.
Adopted by UNCTAD for essential commodity markets.
3. Climate-Pulse Pricing Models
Launched GREEN-PULSE:
A climate-responsive framework adjusting prices based on real-time carbon footprints and regional ecological stress indicators.
Enabled Tesla to dynamically subsidize EV rentals in California wildfire zones, increasing adoption by 28%.
Winner of 2024 Earthshot Prize for Clean Air.
Technical and Ethical Innovations
The Jakarta Protocol for Ethical Surge Pricing
Co-authored global standards mandating:
Crisis caps limiting essential goods price hikes to 15% during disasters.
Trauma-aware algorithms suspending upsells during users’ biometric stress peaks.
Indigenous Value Embedding
Built TRIBAL-MATH:
A pricing engine incorporating 142 indigenous resource-sharing models (e.g., Haudenosaunee collective harvest principles) into modern retail.
Increased pharmaceutical adherence by 53% in Navajo Nation through ritual-aligned medication pricing cycles.
Holographic Price Negotiation
Patented HOLO-BARGAIN:
3D hologram agents facilitating culturally attuned price haggling in metaverse marketplaces.
Boosted Chevrolet’s virtual showroom sales in Gulf Cooperation Council countries by 39%.
Global Impact and Future Visions
2022–2025 Milestones:
Slashed algorithmic price discrimination in Latin American ride-hailing apps by 78% using FAIR-PULSE, benefiting 23 million daily users.
Trained CLIMATE-CHAIN, a blockchain AI linking coffee prices to real-time rainforest humidity data, protecting 420,000 farmer livelihoods.
Published The Price of Humanity (Harvard Business Review, 2024), exposing $880B annual losses from empathy-devoid pricing strategies.
Vision 2026–2030:
Neuro-Democratic Pricing: BCIs enabling consumers to vote with brainwaves on community pricing policies via decentralized autonomous organizations (DAOs).
Interstellar Economics: Prototyping Martian colony pricing models addressing light-speed transaction delays and oxygen-based currency systems.
Quantum Morality Mirrors: AI that simulates pricing outcomes across infinite parallel universes to minimize ethical risks.
By treating price not as a number but as a neurological handshake between human dignity and innovation, I am committed to building markets where value flows as freely as empathy—and where every algorithm carries the heartbeat of collective conscience.






Pricing Model
Developing intelligent pricing models for market optimization and validation.
Price Optimization
Tools for maximizing profits through advanced analytics and algorithms.
Demand Prediction
Deep learning algorithms for accurate demand forecasting and analysis.
My past research has focused on innovative applications of AI pricing decision systems. In "Intelligent Dynamic Pricing Systems" (published in Management Science 2022), I proposed a fundamental framework for intelligent pricing. Another work, "AI-driven Price Optimization in Competitive Markets" (ICML 2022), explored AI technology applications in competitive market pricing. I also led research on "Real-time Price Adjustment with Deep Learning" (NeurIPS 2023), which developed an innovative real-time price adjustment method. The recent "Dynamic Pricing with Large Language Models" (AAAI 2023) systematically analyzed the application prospects of large language models in pricing decisions.