Deborah Frazier is a computer science, mathematics, and advanced biology teacher at Monta Vista High School (MVHS) in Cupertino. She was awarded as a Santa Clara County, Fremont Union High School District, and MVHS Teacher of the Year in 2016. She has also been honored with a NCWIT Computing Educator Award, Society for Science and the Public Intel STS Research Teacher Badge, AAUW's Eleanor Roosevelt Fellowship, and is a lifelong Sarah D Barder Fellow through Johns Hopkins University Center for Talented Youth. Beginning in 2014, she began working with a team in her district to develop two new courses that would make computer science more inclusive of diverse math backgrounds and would overtly teach design principles; some of this work resulted in AP Computer Science Principles, which she is proud to teach as a broad, well-balanced computer science course that includes design principles, logic, security and privacy issues, and technology literacy. Deborah advises student-run Technovation and Girls Who Code clubs at her school, which have included competition winners at the international level, representation in the documentary Code Girl, day-long hackathons, and have brought dozens of girls into the worlds of design, computer science, and business that may have otherwise overlooked them. Deborah collaboratively developed an artificial intelligence system for use in learning college-level biology, with the AI Center at SRI International, which earned international attention (most visibly through AAAI and the Cyberlearning Research Summit) in 2012. She worked for IgnitEd (formerly known as IISME), primarily coaching teachers in summer fellowships at various research and company facilities in the Bay Area, but also working directly with NASA and Systemix (a subdivision of Novartis) to conduct research and develop curriculum, particularly for NASA's Virtual Skies. Deborah is a founder of the nonprofit StrollerHikes and ecommerce site Thyrm, each using computers for dynamic decision making in content retrieval and marketing/logistics decisions.
Michael Genesereth is a professor in the Computer Science Department at Stanford University. He is best known for his work on computational logic and its applications in enterprise computing, computational law, and general game playing. He has taught logic for 30 years at Stanford.