RJ is an intern who started in September 2018 exploring meta-learning, causality, and proxies for the Kolmagorov complexity. In particular, his research focuses on exploring how we can express the differences between highly related tasks to create learning techniques that generalize better to a family of previously-untrained or unexplored tasks.