
Bradford Stanley, CFA, serves as Chief Investment Officer and Portfolio Manager of The Stanley Laman Group, which he joined in 2003. As CIO, Brad oversees the firm's investment research platform and directs portfolio strategy across multiple asset classes and global markets.
Brad is the Portfolio Manager for the firm's U.S. AI and Asia AI equity strategies. He is the creator and architect of the firm's proprietary Ad-Star® System, a sophisticated quantitative framework that evaluates publicly traded companies through comprehensive fundamental and forensic analysis of over ten thousand historical financial metrics, ratios, and proprietary algorithms.
Since early 2024, Brad has driven the firm's artificial intelligence integration, architecting two proprietary systems that constitute its core analytical infrastructure. The Fusion Engine simultaneously deploys AI foundation models from every major frontier lab in a structured adversarial cross-validation framework — orchestrating parallel analysis, hierarchical strength-weighting, iterative refinement, and human judgment gates — producing institutional-grade research with analytical error rates approaching zero on verified outputs. Zygent AI, the firm's agentic workforce orchestration system, executes across database engineering, quantitative platform development, backtesting, and portfolio optimization under a trust-but-verify architecture — with models dynamically assembled into an into an adversarial verification network. Brad maintains deep practitioner-level engagement across frontier AI systems, enabling capability adoption cycles compressed by an order of magnitude relative to institutions navigating committee governance structures, enterprise vendor dependencies, and legacy technology architectures.
Brad is a CFA Charterholder, having earned the designation in 2009 after passing all three examinations on the first attempt. He is a member of the American Finance Association and the CFA Society of Philadelphia.
Brad earned his Bachelor of Science in Computer Science from Carnegie Mellon University in 2003, with a minor in Cognitive Psychology. He was awarded the Carnegie Mellon Senior Leadership Award. His dual background in computer science and quantitative finance equips him uniquely to integrate advanced technology with rigorous investment discipline.