Kerianne Pruett is a technical leader specializing in statistical and machine learning solutions for astrophysics, space domain awareness, and national security, with eight years of experience delivering large-scale modeling, simulation, and HPC data pipelines. She has led multimillion-dollar research efforts, built student programs, and mentored staff from high school through postdoc levels while briefing government and military customers on technically complex results. Her work spans electro-optical image simulation, cislunar orbital stability, pattern-of-life and conflict modeling, and weak-lensing and dark-matter analyses—bridging fundamental astrophysics and operational space systems. Known for turning research-grade algorithms into field-relevant tools, she combines hands-on algorithm development with program scoping and execution across interdisciplinary teams. Based in Chantilly, VA, she pairs advanced degrees in space systems and data analytics with practical experience at national labs and The Aerospace Corporation.
8 years of coding experience
2 years of employment as a software developer
M.S., Space System Operations, M.S., Space System Operations at Naval Postgraduate School
M.S. (partial), Physics with Astrophysics emphasis, M.S. (partial), Physics with Astrophysics emphasis at San Francisco State University
Associate of Science - AS, Physics, Mathematics, Associate of Science - AS, Physics, Mathematics at Folsom Lake College
Master's Certificate, Data Analytics, Master's Certificate, Data Analytics at U.S. Air Force Institute of Technology
Bachelor of Science - BS, Physics with Astrophysics emphasis, Bachelor of Science - BS, Physics with Astrophysics emphasis at University of California, Davis
Population Synthesis for Compact-object Lensing Events
Contributions:45 commits, 3 PRs, 45 pushes in 2 years 8 months
eventscompactpopulation-synthesissynthesis
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