Research & Partnerships
Curated working papers, benchmarks, and open datasets on verified financial algorithms, formal methods for quant models, and macro linkages between compute cycles and capital flows.
Research Areas
Verified Financial Algorithms
Formal verification of trading algorithms and risk models
Sample Papers:
• Formal Verification of High-Frequency Trading Systems
• Provably Safe Risk Management Protocols
Formal Methods for Quant Models
Mathematical foundations for quantitative financial models
Sample Papers:
• Type-Safe Financial Modeling
• Verified Statistical Arbitrage Strategies
Macro Linkages & Compute Cycles
Understanding the relationship between compute infrastructure and capital flows
Sample Papers:
• Compute-Capital Correlation Analysis
• Infrastructure Investment Alpha Generation
Research Partnerships
Columbia Business School
Academic Partnership
Extending the Columbia tradition of fundamental investing to the computational age
Focus:
Emprical asset pricing, Macro finance
Columbia University Software Systems Laboratory
Technical Collaboration
Advancing formal verification and mathematical reasoning for AI systems
Focus:
Formal methods, computational logic
The Fields Institute, Centre for Mathematical AI
Mathematical Research
Exploring the mathematical foundations of verified intelligence
Focus:
AI For Mathematics, Mathematics of AI
RiskLab International
Mathematical Finance Research
Developing verified risk models and quantitative methods
Focus:
Financial algorithms verification, Conformal prediction
ADIA Lab
Strategic Capital Deployment
Aligning verified intelligence with practical capital deployment
Focus:
Applied AI, real-world implementation
Research Philosophy
We support open, verifiable, and reproducible research bridging academic discovery and practical capital deployment. Our collaborations explore the frontier between AI, finance, and formal methods — advancing reasoning systems, computational infrastructure, and algorithmic governance.
Open Research Initiative
We believe in the power of open, verifiable research to advance the field of verified AI in finance.
Our working papers, benchmarks, and datasets are made available to the research community to foster collaboration and accelerate progress in formal verification methods for financial systems.
Working Papers
Peer-reviewed research on verified financial algorithms and formal methods
Open Datasets
Curated datasets for reproducible research in verified AI and finance