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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

News

[05/2022] I will be joining the Department of Earth & Planetary Science at University of California, Berkeley as an Assistant Professor starting from July 2023. I am looking for self-motivated Ph.D. students and PostDoc fellows to join my research group. Candidates interested in earthquake science and machine learning are particularly encouraged to apply.

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

My research focuses on understanding earthquake physics and statistics by applying cutting-edge artificial intelligence and scientific computing methods to gain new insights from large seismic datasets.

Machine Learning/Deep Learning for Geophysical Signal Discovery

  • Applying deep learning to detecting hidden earthquake signals from large seismic datasets to understand complex earthquake sequences and fault zone structures.
  • Applying cloud computing to large-scale data mining to build high-resolution earthquake catalogs for studying earthquake ricks, volcanic activities, glacier evolution, etc.

Earthquake Simulation and Seismic Inversion for Understanding Earthquake Physics

  • Applying earthquake simulation to analyze multiphysics couplings within fault zones such as fluid, permeability, friction, and other mechanical properties.
  • Applying automatic differentiation to improve geophysical inversion and constrain key physical parameters such as earthquake source parameters and the Earth’s interior structures.

Honors and Awards

  • 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