Dr. Junier Oliva, assistant professor of computer science at UNC, has over 10 years of experience researching, developing, and publishing novel techniques in machine learning (ML), artificial intelligence (AI), and statistics. Dr. Oliva leads the Learning and Understanding Patterns with Analytics (LUPA) Lab (lupalab.com), which routinely publishes work at the top ML and AI conferences such as NeurIPS, ICML, AAAI, AISTATS, and IJCAI. Dr. Oliva’s research program bridges the gap between human and machine learning by extending ML paradigms past single point estimation to reason over collections like distributions, sets, sequences, and graphs. Broadly, Dr. Oliva’s work has made strides in the following areas: high dimensional density estimation and generative models; inference over partially observed data; ML on complex objects and collections; and multi-task and meta-learning.