ÂÜÀòÂÒÂ×

Daniel King is a Geospatial Data Scientist at Sonoma Technology, Inc., where responsibilities include extracting and integrating diverse data sources for machine learning modeling aimed at forecasting air pollution across the contiguous United States. Prior experience includes serving as a Laboratory Analyst at ALS - North America, where analytical techniques for assessing biochemical and chemical oxygen demand of water samples were employed. Additionally, Daniel's background includes research as a Research Assistant with Kaake Research Group, optimizing ultra-fast laser performance, and as an Engineered Nanomaterials Safety Expert at Gates Research Group, where synthesis and testing of quantum dots were conducted. Academic qualifications include a Master's degree in Data Science from The University of British Columbia and a Bachelor's degree in Chemistry from Simon Fraser University, complemented by a formal exchange program at the National University of Singapore.