Authors
Meet the MWM editorial team — operators, engineers, and analysts who build mobile apps that have crossed billions of downloads, and write the data-backed analysis powering MWM's app market intelligence.
Team
Maxime DoussinCTOTech infrastructure and Generative AI for mobile. Deep expertise in app intelligence platforms, audio engineering, and data-driven growth at scale (1B+ downloads).Generative AIMobile app intelligenceVibecodingApplications architecture+2Read profile
Charles PerrotCOOApp publishing strategy, business operations, and strategic partnerships at MWM. Deep expertise in scaling consumer app portfolios from concept to 1B+ downloads.App publishing strategyMobile app monetizationBusiness operationsStrategic partnerships+2Read profile
Damien DelepineHead of EngineeringEngineering management and cloud/big data infrastructure. Specializes in scaling backend systems for consumer apps with millions of daily users and 1B+ downloads aggregate.Engineering managementCloud infrastructureBig data platformsBackend architecture+2Read profile
Benjamin LedouxVP of GrowthMobile user acquisition and performance marketing at scale. Specializes in paid channel mix (ASA, UAC, programmatic), gaming UA, and growth strategies for consumer apps.User AcquisitionPerformance marketingMobile growthApple Ads+2Read profile
Benjamin DuvivierLead ProductMobile product strategy and roadmap management. Specializes in feature prioritization for consumer apps, UX iteration, and coordinating cross-functional dev/design/marketing teams.Mobile product strategyProduct managementProduct roadmapMobile UX+2Read profile
Marion AuratSenior Data ScientistStatistical analysis and predictive modeling of mobile app market dynamics. Specializes in App Store ranking trends, version-correlation studies, and market trend decomposition.Data scienceStatistical analysisMarket trend modelingPredictive analytics+2Read profile
Clement BrunSenior Data Scientist & ML EngineerMachine learning engineering and AI model deployment for app analytics. Specializes in sentiment analysis pipelines, applied ML on App Store data, and bridging research-to-production.Machine learningAI engineeringMLOpsDeep learning+2Read profile