Dave Kale is a Ph.D. candidate in Computer Science and a Viterbi Deans Doctoral Fellow at the USC Information Sciences Institute, supervised by Greg Ver Steeg. Kale's research uses machine learning to extract insights from digital data in high-impact domains, such as healthcare. Recently, he pioneered the application of recurrent neural nets to modern electronic health records and mobile health data. Kale is a co-founder of the Machine Learning for Healthcare Conference (MLHC). Upon graduation, Kale will join Skymind, Inc., as a deep learning engineer where he will continue to build artificial intelligence solutions for pressing real-world problems.