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Paul Meinshausen

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Paul Meinshausen is the co-founder and CEO of Aampe, a company building AI-driven personalization infrastructure that enables mobile apps to automatically learn and optimize how they communicate with individual users through push notifications and other messaging channels. Aampe's technology uses reinforcement learning to treat each user as an individual experiment, moving beyond traditional segmentation-based approaches to messaging. Prior to founding Aampe, Meinshausen worked in data science and applied machine learning roles, including work at organizations focused on economic development and data-driven decision-making. He has a background that spans both technical machine learning research and applied product development, which informs Aampe's approach to building adaptive personalization systems for consumer apps. Meinshausen has spoken and written about the application of reinforcement learning and causal inference to marketing automation and user engagement, positioning Aampe within the broader conversation about how AI can replace rules-based marketing logic with continuously learning systems.

Last updated Oct 22, 2026 by ATDb automated enrichment · Connections updated Oct 22, 2026

Role
Co-founder and CEO
Company
Aampe
Based
Hong Kong, Hong Kong
Connections
1

AI-drafted from public sources1 source cited

Years in industry
6 years

Bio

Paul Meinshausen is the co-founder and CEO of Aampe, a company building AI-driven personalization infrastructure that enables mobile apps to automatically learn and optimize how they communicate with individual users through push notifications and other messaging channels. Aampe's technology uses reinforcement learning to treat each user as an individual experiment, moving beyond traditional segmentation-based approaches to messaging. Prior to founding Aampe, Meinshausen worked in data science and applied machine learning roles, including work at organizations focused on economic development and data-driven decision-making. He has a background that spans both technical machine learning research and applied product development, which informs Aampe's approach to building adaptive personalization systems for consumer apps. Meinshausen has spoken and written about the application of reinforcement learning and causal inference to marketing automation and user engagement, positioning Aampe within the broader conversation about how AI can replace rules-based marketing logic with continuously learning systems.

Career

  • Co-founder and CEOCurrent

    Aampe

Roles with a cited source. All linked roles are in the Roles tab.

Expertise & education

Expertise

Reinforcement LearningPersonalization InfrastructurePush Notification OptimizationMobile Marketing AutomationCausal InferenceMachine LearningUser EngagementMarTech

Education

  • University of Chicago (attended)

Speaking topics

Reinforcement learning for marketing personalizationMoving beyond segmentation in mobile messagingAI-driven user engagement optimizationCausal inference in marketing

Recognition

Notable achievements

  • Co-founded Aampe, which raised venture funding to build reinforcement learning-based personalization infrastructure for mobile apps
  • Pioneered application of multi-armed bandit and reinforcement learning approaches to push notification personalization at scale
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