Richard enjoys research and applications of machine learning, deep learning, natural language processing and computer vision. In 2014, he got his PhD at Stanford where he worked with Chris Manning and Andrew Ng. He was awarded the Distinguished Application Paper Award at the International Conference on Machine Learning 2011, the 2011 Yahoo! Key Scientific Challenges Award, a Microsoft Research PhD Fellowship in 2012 and a 2013 “Magic Grant” from the Brown Institute for Media Innovation.