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Organization / Workplace
San Francisco Bay Area United States
Occupation
Research/Engineering Director at Netflix - Machine Learning and Recommendation Systems
Industry
Technology / Software / Internet
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About
Leading machine learning researchers and engineers to solve hard, important problems. Balancing research, software engineering, management, and vision. Doing end-to-end machine learning: creating new ideas, designing algorithms running experiments, analyzing the data, deploying in real applications, and building next-generation machine learning infrastructure to make it seamless. Currently focused on innovating the Netflix homepage through better recommendations and personalization to increase our members joy. Specialties: Machine Learning, Personalization, Recommender Systems, Deep Learning, Collaborative Filtering, Information Retrieval, Text Analysis, Artificial Intelligence
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Presentations(16)Ìý

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Recent Trends in Personalization at Netflix
Recent Trends in Personalization at NetflixRecent Trends in Personalization at Netflix
Recent Trends in Personalization at Netflix
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Recap: Designing a more Efficient Estimator for Off-policy Evaluation in Bandits with Large Action Spaces
Recap: Designing a more Efficient Estimator for Off-policy Evaluation in Bandits with Large Action SpacesRecap: Designing a more Efficient Estimator for Off-policy Evaluation in Bandits with Large Action Spaces
Recap: Designing a more Efficient Estimator for Off-policy Evaluation in Bandits with Large Action Spaces
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Recent Trends in Personalization: A Netflix Perspective
Recent Trends in Personalization: A Netflix PerspectiveRecent Trends in Personalization: A Netflix Perspective
Recent Trends in Personalization: A Netflix Perspective
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