Amos Decker is a technical associate at LNSP. His research focuses on conventional counterforce, missile guidance and control, dose-response modeling, and critical infrastructure security. Amos has a BS in statistics & data science and theoretical computer science from Minerva University. Previously, Amos worked on machine learning for disruption detection in tokamaks at the Plasma Science and Fusion Center at MIT. He is a strong supporter of open science, and has contributed to open source platforms for accessing tokamak disruption data. In his spare time, he enjoys running long distances.