Apoorv Agarwal is a fourth year doctoral student in the Computer Science department at Columbia University, New York City. His areas of interest and specialization are Natural Language Processing and Machine Learning. Currently he is interning at IBM Research, working with the DeepQA team that built Watson, a machine capable of answering Jeopardy! questions. Apoorv believes that the arts may provide a fertile ground for thinking about scientific ideas. Every form of art provides a different meaning representation for concepts. “The next step”, during ideation, may be obvious in one form (of meaning representation) and not the other. As a first step to explore this hypothesis, he recently collaborated with choreographer Caitlin Trainor to create Artificial IntelliDance, a dance presentation that explains how machines learn to “think” like humans.