Author Biography
Stefan Gudmundsson is known for turning advanced machine learning into real world impact across gaming and healthcare. As Director of Data, Analytics, and AI at CCP Games in Reykjavik, he leads the design of scalable data platforms, builds predictive and clustering models for player understanding, and delivers actionable insights to leadership and development teams. He chairs the CCP AI committee, setting AI strategy and governance with a focus on production velocity, quality, and ethical best practices.
Before CCP Games, Stefan served as VP of AI and Engineering at modl.ai, where he guided research and engineering for player bots and automated quality assurance. He previously built the data science and AI organization at Sidekick Health, launched partner facing data products, and advanced machine learning that led to patentable products. Earlier, he led AI research collaborations at H and M and managed teams that developed high performance recommender systems, and at King he directed research and development on game AI, human like playtesting, and player modeling. Stefan has shared his work at industry conferences including GDC, FDG, and CIG, and his research includes widely cited studies on human like playtesting and level difficulty prediction.
With a background that spans banking risk analytics, university lecturing in mathematics, and decades of hands on programming, Stefan brings deep technical breadth together with clear communication and team leadership. His core skills include data engineering, statistical modeling, generative AI, large language models, SQL, and modern data warehouse architecture. As an advisor and people leader, he builds high trust teams, aligns innovation with business strategy, and ships AI systems that improve player experience and health outcomes.