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Joel L.M. Thorarinson, Ph.D.

Portfolio Manager · Quantitative Researcher · Nonlinear Systems Physicist · Research Systems Builder

Profile

Portfolio manager, quantitative researcher, and systems builder with 15+ years developing systematic futures strategies, research infrastructure, and nonlinear modeling frameworks. Ph.D. physicist trained in non-equilibrium field theory, with peer-reviewed work spanning computational AMO physics, oscillons, false-vacuum decay, Q-balls, nonperturbative Abelian-Higgs configurations, and prebiotic chirality. Current work spans global futures research, evidence-checked knowledge systems, local-first AI tooling, scientific visualization, and exploratory coherence-based models of structure and decision systems.

Operating Thesis

My work begins from a simple premise: complex systems become tractable when their latent structure is made visible. Across physics, markets, law, health, language, and speculative coherence research, I build tools that convert high-dimensional ambiguity into navigable models: simulations, knowledge bases, visualizations, research pipelines, local-first AI systems, and decision-support frameworks.

The through-line is nonlinear structure: how local interactions produce emergent behavior, how hidden regimes appear, how signals survive noise, and how models can be built without confusing conjecture with proof.

Research Arc

My early research began in computational atomic, molecular, and optical physics, using relativistic random-phase approximation methods to study inner-shell photoionization and photodetachment. My Ph.D. work moved into nonlinear field theory and nonequilibrium dynamics: Q-balls, oscillons, false-vacuum decay, vortex-antivortex annihilation, nonperturbative Abelian-Higgs configurations, and prebiotic chirality.

My professional work then translated these habits of thought into systematic futures trading: signal extraction, portfolio construction, regime analysis, risk diagnostics, and research-to-production infrastructure. Current work extends this systems approach into public knowledge tools, local-first AI infrastructure, scientific visualization, and exploratory coherence frameworks.

Experience

Partner
Present
Portfolio Manager
Eisler Capital — London, UK
2024 – Present
Portfolio Manager
2021 – 2023
Partner & Portfolio Manager
Stoneview Technologies — Greenwich, CT
2016 – 2024
Strategy Creator & Portfolio Manager
Teza Technologies
2011 – 2016
Quantitative Researcher & Portfolio Manager
RGM Advisors
2009 – 2010
Valuation Analyst
Brockardt Consulting
2008 – 2009
Researcher & Lecturer
Dartmouth College — Dept. of Physics & Astronomy
2003 – 2008
Development Logistician
ADRA Togo
2003

Education

Ph.D. Physics & Astronomy
Dartmouth College, 2008
Advisor: Marcelo Gleiser (2019 Templeton Prize Laureate)
B.Sc. Physics
Andrews University, 2002

Publications

Peer-Reviewed Journal Articles
Conference Proceedings
Academic Presentations
Thesis
Scientific Visualization / Media Credit
Exploratory Manuscripts and Framework Drafts

The following are unpublished exploratory manuscripts, framework drafts, and speculative operator models. They are not presented as peer-reviewed results, accepted mathematical proofs, or independently validated scientific claims.

Press & Media

Awards & Fellowships

Technical Skills

Languages
Python C++ JavaScript / TypeScript Go Rust Java SQL
Quant / Scientific Computing
NumPy / pandas / SciPy Numerical Simulation Stochastic Modeling Optimization Time-Series Analysis Backtesting Risk Diagnostics
AI / Knowledge Systems
Local-First AI Tooling Vector Search Document Indexing RAG Systems Structured Extraction
Infrastructure
Git Linux / macOS Docker GitHub Actions API Design Data Pipelines
Visualization
Three.js / WebGL D3.js Canvas / SVG Scientific Simulation Outputs
Domains
Systematic Futures Nonlinear Dynamics AMO Physics Quantum / Nonlinear Field Theory Health Knowledge Systems Linguistic Analysis