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Aaron Linsky
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.
Michael Kitson
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.
Oliver Simon
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.
Theo Saarinen
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.
Noisy Data Breaks RLVR
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.
Putting Task Expertise into RL to Achieves State-of-the-Art on Text-to-SQL
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.
Our Thoughts on What Is Likely the Most Important Policy Decision of Our Lifetime
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.
Greg Jensen and Nir Bar Dea on the Importance of AI Regulation
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.
Our Thoughts on What Is Likely the Most Important Policy Decision of Our Lifetime
September 9, 2026
The Importance of AI Regulation: A Conversation with Greg Jensen and Nir Bar Dea
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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