Dr. Seungwon Lee is a Technical Group Supervisor at NASA's Jet Propulsion Laboratory (JPL), California Institute of Technology, where she leads the Science Data Modeling and Computing Group. With more than two decades of experience in Earth science, planetary science, scientific computing, and data systems, she has led numerous NASA-funded research, technology development, and mission support projects as Principal Investigator, Project Manager, and Product Delivery Manager. Her research interests span Earth system modeling, digital twins, scientific workflow systems, high-performance computing, remote sensing, and advanced data analytics. Dr. Lee has successfully led multiple NASA projects, including the EcoPro ecological projection framework, the TROPESS atmospheric data record project, and the EZIE Science Data System. She has authored numerous peer-reviewed publications, serves as a proposal reviewer for NASA and NSF, and has received multiple NASA and JPL awards for research, software innovation, technical leadership, and proposal development. She has led NASA's annual Earth Science Summer School group research program since 2014. She earned her Ph.D. in Physics from the Ohio State University in 2003.

• Ph.D. in Physics, The Ohio State University, Columbus, Ohio, USA (2002)
• M.S. in Physics, The Ohio State University, Columbus, Ohio, USA (2000)
• M.S. in Physics, Seoul National University, Seoul, South Korea (1997)

My research interests lie at the intersection of Earth system science, artificial intelligence, scientific computing, and data systems. I develop computational methods and digital infrastructures that accelerate scientific discovery by integrating Earth observations, physics-based models, AI technologies, and high-performance computing. My current research focuses on Earth system digital twins, AI-assisted scientific software development, scientific workflow orchestration, ecological and environmental forecasting, atmospheric remote sensing, and cloud-native science data systems. I am particularly interested in applying foundation models, large language models, and agentic AI to enhance Earth system modeling, scientific workflows, and decision support. My goal is to develop innovative technologies that improve our ability to understand, predict, and respond to changes in the Earth system while supporting future NASA missions and scientific applications.

• Earth Science  | Ecology And Biodiversity, Including Change To Aid Local To Global Conservation Efforts
• Earth Science  | Atmospheric Composition And Air Quality, Including Air Quality Forecasting And Health Impacts
• Artificial Intelligence, Machine Learning, and Data Science  | Deep Learning And Data Analytics
• Software, Modeling, Simulation, and Information Processing  | Multi-Scale/Multi-Physics Modeling And Simulation
• Software, Modeling, Simulation, and Information Processing  | Mission Architecture, Systems Analysis, And Concept Development

• NASA Jet Propulsion Laboratory (JPL), California Institute of Technology, Technical Group Supervisor, 2014 – Present
• NASA Jet Propulsion Laboratory (JPL), California Institute of Technology, Research Technologist, 2003 – 2014
• University of California, Berkeley, Postdoctoral Fellow, 2002 – 2003
• National Center for Supercomputing Applications (NCSA), University of Illinois at Urbana–Champaign, Graduate Fellow, 2001 – 2002
• Institute for Theoretical Physics, University of California, Santa Barbara, Graduate Fellow, August 2000 – December 2000
• The Ohio State University, Research and Teaching Assistant, 1998 – 2002
• Seoul National University, Research Assistant, 1995 – 1997

• People Leadership Award | Science Data Modeling and Computing Group Leadership (2023)
• JPL Principal Designation | Science Data Modeling And Computing (2021)