Meng Jia
Payne Institute Research Associate

Meng Jia is a Ph.D candidate in the Department of Applied Mathematics and Statistics at Colorado School of Mines. Previously, he received his M.S. degree from Department of Geological Sciences at University of Florida in 2018 and received his M.S. and B.S. degree from Department of Geophysics at Peking University in 2015 and 2012, respectively. His research focuses on methane emission detection, localization, and quantification on oil and gas (O&G) sites using statistical and machine learning methods. On-going projects include atmospheric transport modeling of methane on O&G sites such as Gaussian plume, Gaussian puff, and physics-informed neural networks (PINN), continuous monitoring sensor placement optimization, and methane emission localization and quantification for single- and multiple-source events.