James McINERNEY

James McInerney serves as Senior Research Scientist at Netflix, where he focuses on statistical approaches to machine learning, particularly in epistemic uncertainty quantification, temporal point process models, and causal reasoning. After completing his PhD in machine learning for spatiotemporal modeling from the University of Southampton, MSc in Artificial Intelligence from Imperial College London, and BA in Computer Science from Oxford University, he has established himself as a leading researcher in Bayesian approaches to recommender systems. His career includes significant roles as Senior Research Scientist at Spotify and postdoctoral positions at Columbia University under David Blei and Princeton University. His research combines theoretical foundations in statistical machine learning with practical applications in personalization and contextual bandits. Through his work on recommender systems and causal reasoning, he continues to advance the field while developing innovative solutions for real-world applications in content recommendation and user modeling.