Oxford University has announced the new cohort of Schmidt AI in Science Fellows for 2025. The program, which focuses on harnessing artificial intelligence for scientific challenges, includes early-career researchers from the Mathematical, Physical, and Life Sciences Division. The fellows’ projects span various fields, incorporating AI to address issues in cosmology, conservation, solar cell design, and storm surge prediction.
The cohort includes Alycia Leonard from the Department of Engineering Science, whose project is "Predicting empowerment: AI-driven targeting of social policy interventions." Taniya Kapoor, also from Engineering Science, focuses on "Engineering-informed foundation models for sustainable materials discovery."
Other fellows include Thomas Monahan, working on "Global operational storm surge prediction using neural differential equations," and Daniel Schofield, whose project is "Scaling AI for ethology and wildlife conservation."
Augustin Marignier from the Department of Earth Sciences is "Illuminating the Earth’s inner core with Bayesian AI." From the Department of Physics, Deaglan Bartlett focuses on "Trustworthy machine learning for cosmological discovery," while Hattie Stewart works on "Galaxy modelling in next generation radio surveys with AI."
Jonathan Pattrick from the Department of Biology is "Characterising pollinator energetics and foraging dynamics using computer vision and AI." From the Department of Chemistry, Yuxing Zhou's project involves "Understanding amorphous oxides for solar cell design using AI-driven modelling." Finally, Siyi Yang from the Department of Materials is working on "Automated crystal growth parameter exploration using autonomous agents."
These fellows aim to leverage AI advancements to tackle scientific challenges in their respective fields.