I am currently an associate professor in the Department of Civil Engineering at Tsinghua University. I earned my Ph.D in geophysics and seismology from the Department of Earth, Atmospheric, and Planetary Sciences (EAPS) at Massachusetts Institute of Technology (MIT) in September 2016. I also belonged to the MIT Earth Resources Laboratory (ERL). After that, I stayed on as a postdoc at MIT from 2016 to 2021 until I join the faculty at Tsinghua University.
My research focuses on the source physics of multi-scale earthquakes, including regional earthquakes, local earthquakes, micro-earthquakes, and pico-earthquakes in laboratory scale (acoustic emissions). I combine numerical approaches, observational data, and laboratory experiments to explore the processes of faults and fractures in multi-scales. In addition, I apply artificial intelligence (AI) techniques to improve the efficiency and accuracy of high-dimensional geophysical inversion and uncertainty quantification problems. I have developed the Bayesian waveform-based full moment tensor inversion method, that I use to investigate the source mechanisms of earthquakes from hundred kilometer scale to center meter scale.
My background across various areas of geosciences provides me with an interdisciplinary perspective and the ability to think through problems creatively. I am not only inspired by new techniques and theories in other areas, e.g., mathematics, physics and computer science, but also apply them to my own research. I have been committed to looking into areas outside my research and trying multiple solutions to my research problems.
My collaborators since 2010 include M. Nafi Toksöz, Youssef M. Marzouk, J. Brian Evans, Germán A. Prieto, Robert van der Hilst, and Sang-Heon Dan Shim.
My research focuses on the source physics of multi-scale earthquakes, including regional earthquakes, local earthquakes, micro-earthquakes, and pico-earthquakes in laboratory scale (acoustic emissions). I combine numerical approaches, observational data, and laboratory experiments to explore the processes of faults and fractures in multi-scales. In addition, I apply artificial intelligence (AI) techniques to improve the efficiency and accuracy of high-dimensional geophysical inversion and uncertainty quantification problems. I have developed the Bayesian waveform-based full moment tensor inversion method, that I use to investigate the source mechanisms of earthquakes from hundred kilometer scale to center meter scale.
My background across various areas of geosciences provides me with an interdisciplinary perspective and the ability to think through problems creatively. I am not only inspired by new techniques and theories in other areas, e.g., mathematics, physics and computer science, but also apply them to my own research. I have been committed to looking into areas outside my research and trying multiple solutions to my research problems.
My collaborators since 2010 include M. Nafi Toksöz, Youssef M. Marzouk, J. Brian Evans, Germán A. Prieto, Robert van der Hilst, and Sang-Heon Dan Shim.
