Understanding how and why plants produce such a diversity of compounds has been the focus of Lee Chae’s research as a plant scientist. To answer these questions, Chae fuses genome-scale data, computation, and statistics with a deep knowledge of plant biology. He has presented his work on machine learning and plant genomics at universities, such as UC Berkeley, UC San Diego, and Stanford; scientific conferences, such as the Banff Conference on Plant Metabolism and Plant Genome Evolution in Amsterdam; and biotech incubators, such as Berkeley Bio Labs. He received his PhD in plant biology and computational biology at UC Berkeley and performed his postdoctoral research in plant computational genomics at the Carnegie Institute at Stanford. His latest work was recently published in Science and served as a platform for the production of 18 databases on plant metabolism (www.plantcyc.org).