Ameet Talwalkar is an assistant professor of Computer Science at UCLA and a technical advisor for Databricks. His research addresses scalability and ease-of-use issues in the field of statistical machine learning, with applications in computational genomics. He led the initial development of the MLlib project in Apache Spark, is a co-author of the graduate-level textbook 'Foundations of Machine Learning' (2012, MIT Press), and teaches an award-winning MOOC on edX called 'Distributed Machine Learning with Apache Spark.' Prior to UCLA, he was an NSF post-doctoral fellow in the AMPLab at UC Berkeley. He obtained a B.S. from Yale University and a Ph.D. from the Courant Institute at NYU.