LEANNLOWERY

I am Dr. Leann Lowery, a computational game theorist and multi-agent systems architect dedicated to resolving strategic conflicts in asymmetric, heterogeneous agent ecosystems. As the Director of the Strategic Synergy Lab at Carnegie Mellon University (2022–present) and former Lead Researcher at DeepMind’s Cooperative AI Division (2019–2022), I design frameworks that harmonize agents with divergent incentives, incomplete information, and power imbalances. My breakthrough Nashian Dynamics Redistribution Protocol (NDR), which dynamically reweights payoff matrices to stabilize coalitions in 85% of Pareto-suboptimal scenarios (PNAS, 2024), has redefined how autonomous systems collaborate under uncertainty. My mission: To transform adversarial asymmetry into catalytic synergy, enabling humans, algorithms, and institutions to co-evolve as a unified strategic organism.

Methodological Innovations

1. Asymmetric Equilibrium Reshaping

• Core Theory: Dynamic Stackelberg-Knightian Framework

  • Integrates hierarchical leadership models with ambiguity-averse decision trees to balance power gradients.

  • Enabled 92% faster consensus in EU cross-border carbon credit markets by resolving regulatory vs. corporate incentive clashes (2023).

  • Key innovation: Adaptive taxonomies mapping agent roles (leader/follower/maverick) via real-time Shapley value recalibration.

2. Meta-Learning Coalition Contracts

• AI-Driven Bargaining Protocol:

  • Developed TruPeer, a blockchain-mediated reputation system where agents negotiate self-enforcing contracts through evolutionary meta-games.

  • Reduced defection rates by 68% in gig economy platforms by aligning asymmetric labor-algorithm incentives.

3. Cross-Domain Strategy Transfer

• Behavioral Cloning Across Asymmetry:

  • Trained Symmorph on 1.2M+ human-robot interaction episodes to generalize negotiation tactics from healthcare triage to autonomous vehicle mergers.

  • Achieved 79% cross-domain strategy reuse efficiency, surpassing state-of-the-art transfer learning models.

Landmark Applications

1. Pandemic Resource Allocation

• WHO Collaboration (2023–2024):

  • Modeled vaccine distribution as a multi-leader-follower game among nations, pharma giants, and NGOs.

  • Designed equity-adjusted NDR rules that increased Global South allocation by 33% without disincentivizing R&D.

2. Autonomous Air Traffic Control

• NASA/FAA Urban Air Mobility Initiative:

  • Implemented SkyBargain, a two-phase commit protocol for drones and air taxis with asymmetric right-of-way priorities.

  • Prevented 214 potential collisions in Chicago 2024 demo while maintaining 95%+ throughput efficiency.

3. Decentralized Energy Grids

• Tesla & Siemens Partnership:

  • Orchestrated prosumer-coalition formation via inverse game theory, balancing household solar incentives with grid stability.

  • Boosted renewable utilization by 41% in Texas’ ERCOT network during 2024 winter storms.

Technical and Ethical Impact

1. Open Strategic Infrastructure

• Launched GameWeaver (GitHub 28k stars):

  • Tools: Asymmetric equilibrium solvers, coalition stability simulators, incentive misalignment detectors.

  • Adopted by 45+ central banks for CBDC interoperability stress-testing.

2. Algorithmic Equity Audits

• Co-developed FairPlay Index:

  • Quantifies power asymmetry in AI-human collaborations using Gini coefficient-inspired metrics.

  • Mandated by California’s 2025 Algorithmic Accountability Act for all public-sector AI deployments.

3. Education

• Founded Equilibrium Academy:

  • Trains policymakers through war-gaming platforms simulating climate treaty negotiations.

  • Partnered with NATO to model hybrid warfare escalation paths with asymmetric cyber-physical agents.

Future Directions

1. Quantum Game Orchestration
   Design entanglement-mediated coordination protocols for quantum AI collectives.

2. Neurogame Theory
   Map prefrontal cortex conflict resolution heuristics to improve human-AI bargaining transparency.

3. Interstellar Diplomacy
   Prototype first-contact protocols balancing Earth-Mars colony incentive asymmetries.

Collaboration Vision
I seek partners to:

• Scale NDR Protocol for UN’s 2030 Sustainable Development Goal multi-stakeholder platforms.

• Co-develop CrisisMesh with Red Cross for disaster response coordination under extreme information asymmetry.

• Pioneer asteroid mining rights frameworks with SpaceX’s off-world governance teams.

Signature Tools

• Frameworks: Dynamic Stackelberg-Knightian Solver, TruPeer Consensus Engine, Symmorph Transfer Library

• Techniques: Shapley Gradient Descent, Ambiguity-Averse Utility Scaling, Cross-Domain Strategy Topology

• Languages: Python (PyGameTheory), Julia (High-Performance Equilibrium Solvers), Solidity (Decentralized Bargaining Contracts)

Core Philosophy
"Asymmetry isn’t a bug in cooperation—it’s the universe’s oldest feature. My work doesn’t eliminate power gradients but engineers them into computational catalysts. By teaching algorithms to navigate—not negate—the beautiful imbalance of real-world incentives, we birth systems where competition and compassion become two sides of the same coin, forever spinning toward collective transcendence."
This narrative positions you as a boundary-pushing synthesizer of game theory and multi-agent reality, emphasizing real-world impact through technical precision and ethical foresight. Highlight either policy-critical applications (e.g., pandemic response) or cutting-edge tech deployments (space governance) based on audience needs. Maintain a balance between mathematical rigor and strategic poetry.