Welcome! Check out this short YouTube video for a quick introduction to the project.
The Team
This project is led by researchers from Johns Hopkins Applied Physics Laboratory and funded by a NASA Citizen Science Seed Funding Program Grant (#80NSSC25K0153).
Vicki Toy-Edens
Dr. Vicki Toy-Edens is a data scientist and research software engineer at the Johns Hopkins Applied Physics Laboratory in Laurel, Maryland. She works on applying machine learning techniques to different space science problems. Outside of work, she's an avid board game player and collector.
Wenli Mo
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Dr. Wenli Mo is a data scientist and researcher at the Johns Hopkins Applied Physics Laboratory in Laurel, Maryland. She works on using data science and machine learning methods to analyze large datasets of data from space. When not working, she enjoys playing violin and visiting the National Parks.
Savvas Raptis
Dr. Savvas Raptis is a researcher at the Johns Hopkins Applied Physics Laboratory in Laurel, Maryland. His research focuses on collisionless shocks in space and astrophysical plasmas, transient plasma processes, statistical modeling, and machine learning applications. When not analyzing data, he plays classical guitar, reads political and philosophical books, plays video games, and has perfected the art of complaining about never really having enough time to do any of these things.
