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AI4EPS: Artificial Intelligence (AI) for Earth and Planetary Science (EPS)

Weiqiang Zhu

Assistant Professor (CV)

Earth & Planetary Science, University of California, Berkeley

Berkeley Seismology Lab

Berkeley Institute for Data Science

Email: zhuwq@berkeley.edu

Github: AI4EPS · Google Scholar

Education

  • Ph.D., Geophysics, Stanford University, 2016-2021

  • Ph.D. Minor, Computer Science, Stanford University, 2016-2021

  • M.S., Geophysics, Peking University, 2013-2016
  • B.S., Geophysics, Peking University, 2009-2013

Experience

  • 07/2023 - Present, Assistant Professor, University of California, Berkeley
  • 10/2021 – 06/2023, Director’s Postdoctoral Fellow, California Institute of Technology
  • 06/2019 – 09/2019, Research Intern, Google LLC
  • 09/2016 – 06/2021, Graduate Researcher, Stanford University

Research

Much of what we need to understand earthquakes already sits unread in decades of seismic archives. We develop machine-learning methods to recover that information, and use it to build catalogs, characterize earthquake sources, image faults at depth, and forecast future shaking and seismicity. See Research for details.

Honors and Awards

  • 2025, Charles F. Richter Early-Career Award, Seismological Society of America
  • 2025, Hellman Fellowship, University of California, Berkeley
  • 2021, Director’s Postdoctoral Fellowship, Caltech Seismological Laboratory
  • 2021, Exceptional Thesis, Geophysics, Stanford University
  • 2021, Outstanding Student Presentation Award, American Geophysical Union
  • 2015, National Scholarship, Peking University
  • 2014, Outstanding Student Paper Award, Chinese Geophysical Society
  • 2012, National Scholarship, Peking University