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  • July 30, 2026
    Aaron joined Bridgewater in 2008 and is Head of Engineering for the Alpha Engine and a Partner of the firm. He was previously the founding Chief Technology Officer of AIA Labs, where he built the technology platform enabling AI-first investment research and strategies. He is now responsible for extending and scaling those capabilities across Bridgewater’s Alpha Engine.
  • July 30, 2026
    Michael Kitson is Bridgewater’s Chief Compliance Officer and Counsel, responsible for overseeing the firm’s global compliance program and advising senior leadership on regulatory developments and key compliance initiatives across jurisdictions. He is also a Partner of the firm.
  • July 30, 2026
    Oliver joined Bridgewater in 2016 and is the Head of AI & ML Investment Strategy and a Partner of the firm. He has been part of AIA since its inception and today leads its investment strategy. Oliver’s research has been instrumental in developing new insights at the cutting edge of science and investment strategy.
  • July 30, 2026
    Theo joined Bridgewater full time in 2023 as a Senior Research Scientist for AIA Labs and has served as Chief Research Officer of AIA Labs since 2026. In this role, he leads the AIA Labs research agenda, which focuses on long-term scientific bets and how they shape the firm's strategy. He is also a Partner of the firm.
  • August 3, 2026
    Daniel Kang, Yuxuan Zhu
    We show that reinforcement learning with verifiable rewards (RLVR) is less robust to noisy data than previously reported. Even current advanced algorithmic improvements fail to compensate for performance loss due to noisy training data. If you want to improve LLM reasoning, high-quality data remains essential.
  • August 27, 2026
    Daniel Kang, Tengjun Jin, Yuxuan Zhu, Yoojin Choi
    We trained an AI model that turns natural language questions into database queries with human-level accuracy—outperforming leading general-purpose AI models at a fraction of the cost. The research demonstrates that deep task expertise, embedded directly into training through expert-verified data and reward design, can outperform the industry’s default approach of layering more scaffolding onto fixed models.
  • August 4, 2026
    Greg Jensen, Nir Bar Dea, Danny DeBois, Alexa Rozario
    Co-CIO Greg Jensen and CEO Nir Bar Dea share why immediate policy action is necessary in order to realize the full potential of artificial intelligence by mitigating the risks of widespread societal disruption and catastrophic safety accidents.
  • August 27, 2026
    Greg Jensen, Nir Bar Dea, Jim Haskel
    Co-CIO Greg Jensen and CEO Nir Bar Dea discuss the importance of regulating AI development, the risks around a major safety incident, and how to prepare for potential AI-driven labor displacement.
  • September 8, 2026
    Co-CIO Greg Jensen and CEO Nir Bar Dea discuss the importance of regulating AI development, the risks around a major safety incident, and how to prepare for potential AI-driven labor displacement.
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