Primary Job Title Co-Founder, CSO, and CTO Primary Organization Brightseed
Location Stanford, California, United States Regions San Francisco Bay Area, West Coast, Western US Gender Male
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Lee Chae is a computational and molecular biologist who oversees Brightseed’s cutting-edge plant discovery technology (Forager® artificial intelligence). He’s a seasoned R and D technology developer and has designed advanced discovery methodologies for food technology, agricultural biotech, biomedicine, and synthetic biology. He has been a
principal scientist of multiple discoveries, including the machine-learning-driven discovery of novel nutritional bio-actives in plants and computationally guided identification of plant-based proteins for food. He received his Ph.D. in Plant Biology, Computational, and Genomic Biology at UC Berkeley, where he was also a founding member of the Quantitative Biosciences Institute, and performed his post-doctoral training at the Carnegie Institution at Stanford University. At Stanford, Lee developed a machine-learning platform to elucidate the space of natural plant molecules, generating more than 100 databases that are licensed worldwide to industry and academia for drug discovery, synthetic biology, metabolic engineering, and plant breeding and agriculture. Lee was also the chief architect of a computation-based platform for the discovery of next-generation food proteins, which led to the commercialization of the 7th US FDA-approved plant protein for use in food and the world’s first patent on machine-learning strategies for food ingredient discovery.
The basis of Forager published in these peer review journals: Guiding Principles for the Implementation of Personalized Nutrition Approaches That Benefit Health and Function, Advances in Nutrition (Adams, 2019) Genome-Wide Prediction of Metabolic Enzymes, Pathways, and Gene Clusters in Plants, Plant Physiology (Schlapfer, 2017) Genomic Signatures of Specialized Metabolism in Plants, Science (Chae, 2014)
