Jamie Kim is an environmental engineer in the GSI office in Irvine. Her primary expertise is in groundwater modeling, machine learning, and data analytics. She specializes in programming with Python and has experience in using software like MODFLOW and ArcGIS.
She also published a journal article based on her undergraduate senior thesis, in which she contributed to the development and implementation of a machine learning model to predict water table levels in a coastal state using meteorological, topographical, and groundwater pumping data. With her academic and professional background, she has a strong foundation in integrating data-driven approaches with groundwater modeling.