What do algorithms and art have in common? Art and data science are coming together in new ways that are not only visually stunning, but also sparking research questions and creating shared understanding. These exploratory data visualizations at the intersection of code, data science, and machine learning can generate art like we’ve never seen before. In this session, hear from data visualization engineer and artist Nathan Selikoff who has leveraged his lifelong love of art and algorithms to create fascinating interactive experiences — and learn how these visualizations can help us solve real-world problems.