Dr. A. D. (Andy) Gunawardena is a faculty member in the department of computer science at Princeton University. He served as an Associate Teaching Professor of Computer Science at Carnegie Mellon University from 1998-2013 and is now a courtesy faculty at CMU. He is a long time advocate of technology in education and the application of the principles of learning sciences to teaching and learning. He is the co-author of two college textbooks in computational linear algebra published by Springer-Verlag and Thompson Brooks-Cole and is the author and co-author of over 45 research articles. His textbooks have been translated into other languages. He is the co-creator of Classroom Salon, a platform to increase student engagement through annotations and analytics. He has received over US$ 1 million in funding from NSF, Qatar Foundation, Hewlett Packard, Microsoft, Google and many other foundations. His many honors include: leadership in technology award from HP, service award from Jesse Jones institute, ACM appreciation award from ACM houston chapter, and Exceptional achievement award (highest honor given to Sri Lankan expatriate) from Sri Lanka foundation. He was also a founding fellow of HP Catalyst Institute in 2010. From 2010-2013, he co-led the HP's measuring learning consortium, a multi-million dollar effort to introduce data driven learning. He is the principle inventor of US Patent 10,061,756 sponsored by Carnegie Mellon University and is the principle inventor of Princeton University based patent- machine assisted segmentation of video collections. He also recently founded CUvids, inc, a company aiming to provide indexing and search capabilities for large video collections. He is currently the stream editor for learning analytics at the International Journal of innovation in online education. He typically teaches courses in data science, computer algorithms, discrete structures, systems programming, data science and pen-based computing. His research interests include technology in education, learning sciences and Human Computer Interaction.