Earth Sciences Division (ESD) Department of Energy (DOE) Lawrence Berkeley National Laboratory (LBNL)

Jinsong Chen's Geophysical Inverse Problems Research Interest

Geophysical inverse problems are the inferences of physical properties from geophysical measurements. They are typically ill-posed because of non-uniqueness of the solutions and nonlinearity of the forward modeling. The main tasks of my research in the area: (1) To formulate inverse problems properly within a Bayesian framework, (2) To develop efficient (often problem-specific) Markov chain Monte Carlo (MCMC) sampling strategies to explore the joint posterior probability distributions, and (3) To implement the MCMC sampling strategies by developing fast and efficient computer codes on multiple platforms (e.g., Unix and Linux clusters). Examples of my research are: