At this year's Milne Lecture, Professor Bin Yu of UC Berkeley will introduce veridical data science: Grounded in three fundamental principles — Predictability, Computability and Stability (PCS) — veridical data science makes the uncertainties surrounding human decision-making in healthcare more explicit and assessable, aggregating reality-checked algorithms for better results.
The Wei Family Private Foundation supports Oregon State students working on complex problems across disciplines – from tracking PFAS in urban environments and studying Alzheimer’s disease at the molecular level to modeling vaccine protection and developing new battery materials – advancing work that addresses global challenges in health, the environment and energy.
In the College of Science, materials scientist May Nyman and doctoral student Esther Julius are designing molecules that could help push the limits of traditional semiconductor manufacturing.
Hannah Stuwe, a Ph.D. candidate in biochemistry and biophysics, will explore that question in the 2026 Inclusive Excellence Lecture, which will feature live music by local artists.
From inspiring graduate and undergraduate classrooms to transformative academic advising, this year’s awardees exemplify the very best of the College of Science. Their passion, rigor and commitment to student success continue to shape an inclusive, high-impact learning community.
Less than two years after OSU scientists led the publication of a landmark marine protected area guide in Science, the United Nations in June 2023 adopted the text of the treaty.
This award is one of the state’s highest honors and recognizes scientific achievement, leadership, mentorship and contributions that advance science in Oregon and beyond. The recognition comes as Barbar is also leading a new $1.3 million NIH-funded training program to prepare the next generation of molecular biophysicists.
In the inaugural Val Nereo Lecture, presented by the Dept. of Statistics, UCSB professor Annie Qu discusses the challenges associated with multi-modal datasets, proposing a a novel Representation Retrieval (R2) framework.
