Daphne Koller is the Rajeev Motwani Professor in the Computer Science Department at Stanford University and the Oswald Villard University Fellow in Undergraduate Education. Her main research interest is in developing and using machine learning and probabilistic methods to model and analyze complex domains. She is the author of over 180 refereed publications, which have appeared in venues that include Science, Cell, and Nature Genetics (her H-index is over 80).
She also has a long-standing interest in education. She founded the CURIS program, the Stanford Computer Science Department's undergraduate summer internship program, and the Biomedical Computation major at Stanford. She pioneered in her classroom many of the ideas that are key to Stanford's massive online education effort. She was awarded the Sloan Foundation Faculty Fellowship in 1996, the ONR Young Investigator Award in 1998, the Presidential Early Career Award for Scientists and Engineers (PECASE) in 1999, the IJCAI Computers and Thought Award in 2001, the MacArthur Foundation Fellowship in 2004, the ACM/Infosys award in 2008, and was inducted into the National Academy of Engineering in 2011. Her teaching was recognized via the Cox Medal for excellence in fostering undergraduate research at Stanford in 2003, and by being named a Bass University Fellow in Undergraduate Education.
Andrew Ng is an Associate Professor of Computer Science at Stanford University. He is also the Director of the Stanford Artificial Intelligence Lab, the main AI research organization at Stanford, with 15 professors and about 150 students/post docs. In 2008, together with SCPD he started SEE (Stanford Engineering Everywhere), Stanford's first major attempt at free, online distributed education, which made publicly available about a dozen Stanford engineering classes. Over a million people have viewed SEE's videos. At Stanford, he also led the development of the OpenClassroom and the ml-class/db-class online education platforms, which were the precursor to the Coursera platform. In Fall 2011, he was the instructor of ml-class, a Machine Learning class that was one of Stanford's first massive online courses, and had an enrollment of over 100,000 students.
In addition to his work on online education, Ng also works on machine learning, specifically on building AI systems via large scale brain simulations. His previous work includes autonomous helicopters, the STanford AI Robot (STAIR) project, and ROS (the most widely used open-source robotics software platform today). Ng is the author or co-author of over 150 published papers in machine learning, and his group has won best paper/best student paper awards at ICML, ACL, CEAS, 3DRR. He is a recipient of the Alfred P. Sloan Fellowship, and the 2009 IJCAI Computers and Thought award, one of the highest honors in AI.