UC San Diego seismologist Alice Gabriel was one researcher on a multi-institution team which won supercomputing's most lauded prize last week for its studies on a real-time tsunami monitoring prototype.

Gabriel, who works in UCSD's Scripps Institution of Oceanography, and her colleagues from the University of Texas at Austin and Lawrence Livermore National Laboratory won the 2025 Association for Computing Machinery Gordon Bell Prize on Thursday.

The award-winning research used some of the world's largest supercomputers in a "digital twin" model to simulate the seismically active Cascadia subduction zone of the Pacific Northwest in such a complex manner, it reduces the time needed to calculate the variables from roughly 50 years to less than a second.

SC Photography / Courtesy of Scr

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