Modeling Atoms to Address Our Climate Crisis

Larry Zitnick is a research director on the Fundamental AI Research team at Meta. He is currently focused on scientific applications of AI and machine learning, such as the discovery of new catalysts for renewable energy applications. Previously, his research in computer vision covered many areas such as the FastMRI project to speed up the acquisition of MRIs, and the COCO and VQA datasets to benchmark object detection and visual language tasks. He developed the PhotoDNA technology used by industry and various law enforcement agencies to combat illegal imagery on the web. Before joining FAIR, he was a principal researcher at Microsoft Research. He received the PhD degree in robotics from Carnegie Mellon University.