Dawen LIANG

Dawen Liang serves as Senior Research Scientist at Netflix, where he focuses on developing core personalization algorithms and recommendation systems. After completing his PhD from Columbia University's Electrical Engineering Department, he has established himself as a leading researcher in probabilistic modeling and machine learning. His work spans multiple domains including variational autoencoders for collaborative filtering, causal inference for recommendation systems, and deep learning applications. His significant contributions include pioneering work in music signal analysis through librosa, which has garnered over 3,000 citations, and developing innovative approaches to recommendation systems that have been implemented at Netflix. Through his research on probabilistic models, approximate inference, and causal inference, he has helped advance Netflix's personalization capabilities, particularly in addressing challenges of offline-online metric alignment and heterogeneous feature integration