April Morton is pursuing a PhD in Data Science and Engineering at the University of Tennessee, Knoxville, with an emphasis in high-resolution spatio-temporal population modeling and its applications in the urban systems and sustainability fields.
Along with her dissertation work, April works as a Geographic Data Scientist in the Geographic Information Science and Technology (GIST) group at Oak Ridge National Laboratory, where she develops similar high-resolution population models and other related models in the urban dynamics field.
Prior to joining the GIST group in 2014, April spent a year in the Computer Vision and Multimedia Laboratory (CVML) at the University of Geneva, working on research issues related to the use and development of machine learning, information retrieval, and pattern recognition methods for the digital analysis of Mayan hieroglyphic images. Before her work with CVML and during her Master’s Degree she developed population models in the GIST group at ORNL, researched and implemented statistical validation techniques for structural vibration models at NASA’s Jet Propulsion Laboratory, and worked as a data analyst for Southern California Edison’s Safety and Environmental Programs and Services group. Though her current research interests relate to population modeling, a common theme within April’s work has been the application and development of machine learning, data mining, computer vision, information retrieval, and other data science techniques for solving problems in a wide variety of domains.
In addition to her primary research interests, April has a passion for data science ethics, STEM outreach, educational outreach, and computational social science.
Master of Science in Applied Mathematics - California State Polytechnic University, Pomona
Bachelor of Science in Pure Mathematics - California State Polytechnic University, Pomona
Google Scholar Profile: April Morton