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Bridging AI research and institutional investment strategy.

I advise sovereign wealth funds, central banks, and pension funds on:

  • Manager evaluation & AI due diligence
  • AI governance & board oversight
  • Research & proprietary frameworks
OECD - AI Expert World Economic Forum Expert Swiss Institute of Directors - Board Member Numerai - Top 5% Global Leaderboard

Manager Evaluation and Due Diligence

Quantitative managers increasingly claim to use AI. Most allocators lack the tools to verify those claims. I help institutional investors ask the right questions and interpret the answers, distinguishing genuine machine learning integration from repackaged factor models with an AI label.

AI Governance and Board Oversight

Boards and investment committees face a growing challenge: overseeing AI-driven strategies they may not fully understand. I work with governance bodies to build the knowledge frameworks and oversight processes needed to make informed decisions about AI integration in their portfolios.

Proprietary Frameworks and Tools

I develop practical instruments that translate academic AI research into actionable guidance for allocators. These frameworks, starting with SPEC, are designed for the meeting room, not the research lab. Each one addresses a specific gap in how institutions evaluate and integrate AI.

Research and Thought Leadership

I publish at the intersection of causal inference, machine learning, and institutional investment strategy. My work bridges the gap between what AI researchers develop and what allocators need to know, with a focus on what is practically relevant for capital allocation decisions.

Making allocation decisions where AI is a factor?

I work with a small number of institutional clients. If AI is shaping your allocation decisions, governance, or manager selection, let's talk.

Work With Me