He leads the Sikuli Lab where he is training a team of talented students to conduct cutting-edge research to make computers see better and interact with humans more naturally. One example is Sikuli Script, a GUI automation tool based on screenshots. Since its release as open-source software in 2010, it has been downloaded more than 200,000 times and used by a large community of users for a variety of purposes such as testing, IT automation, scraping, data transfer, and gaming. Tom received his PhD from MIT where he did research on interactive computer vision algorithms that enable the creation of several novel search and automation applications. He spent three years at the University of Maryland College Park to receive postdoctoral training in interdisciplinary research involving human-centered computing, computer vision, and software engineering. Advisory Board