pythonc++normalizing-flowsbayesian-inference
PyAmpTools
Thomas Jefferson National Accelerator Facility (JLab) · July 2023 — July 2025
Built an end-to-end analysis pipeline generating physics events from a model, emulating detector efficiency via normalizing flows, and interfacing with both Bayesian- and frequentist-based optimization frameworks for rapid closure tests. Contains Python bindings for the collaboration's C++ analysis software and maintains user-facing documentation to ensure long-term sustainability.