Kiri Wagstaff

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Kiri Wagstaff
Senior Instructor I
Organizations
Electrical Engineering and Computer Science
Email
kiri.wagstaff@oregonstate.edu
Office Phone
(541) 737-9676
Fax
(541) 737-1300
Address

KEC 3075,
2461 SW Campus Way,
Corvallis, OR 97331
United States

Research Website
Personal Website
Degrees
Ph.D., Computer Science, Cornell University, 2002
M.S., Geological Sciences, University of Southern California, 2008
MLIS, Library and Information Science, San Jose State University, 2017
B.S., Computer Science, University of Utah, 1997
Biography

Dr. Kiri Wagstaff is an artificial intelligence researcher and educator with a focus on deployed machine learning systems that help us explore, understand, and learn about the universe. She served as a principal researcher in machine learning at the NASA Jet Propulsion Laboratory and joined Oregon State University as a Senior Instructor in 2019. She spent 2023-2024 as an AI subject matter expert in the U.S. Senate through the AAAS Science and Technology Policy Fellowship program. She earned her Ph.D. in Computer Science from Cornell University, followed by an M.S. in Geological Sciences (University of Southern California) and an MLIS in Library and Information Science (San Jose State University). She is passionate about keeping machine learning relevant to real-world problems.

Awards/Accolades
Fellow of the Association for the Advancement of Artificial Intelligence (AAAI)
NASA Exceptional Technology Achievement Medal (2020) for "inventing dynamic landmarking [to detect surface features from orbital images] leading to novel onboard mission capabilities and infusion into the Planetary Data System"
Two NASA Group Achievement Awards (2014)
NASA Exceptional Technology Achievement Medal (2012) for "the development of adaptive data processing techniques for identification of time-varying sources with next-generation radio arrays"
Young Alumni Par Excellence Award from the University of Utah (2012)
Lew Allen Award for Excellence in Research for "advancing the performance and application of machine learning methods to onboard Earth science missions and spacecraft engineering” (2008)