Mohammad H. Taghavi

Senior Research Engineer, Netflix

Mohammad H. Taghavi received the B.Sc. degree from Sharif University of Technology, Tehran, Iran, in 2003 and the M.Sc. and Ph.D. degrees from the University of California at San Diego, La Jolla, in 2005 and 2008, respectively, all in electrical engineering. From 2008 to 2011, he was with Qualcomm, Inc. in San Diego, CA, conducting research and development on wireless cellular and local area networks. From 2011 to 2013, he was with Opera Solutions, LLC., in San Diego, CA, applying machine learning and data analytics to a variety of business applications. Since 2013, he has been with Netflix, Inc., contributing to algorithms and software driving the personalization and recommendation systems for Netflix members. His current interests include machine learning, recommendation systems, and distributed computing.


Distributed Time Travel for Feature Generation

Learning is an analytic process of exploring the past in order to predict the future. Hence, being able to travel back in time to create feature is critical for machine learning projects to be successful.… Read more