General Atomics
Adam Noack is a Machine Learning Engineer at General Atomics – ASI. He received his B.A. in computer science from St. John's University in Minnesota, and his M.S. in computer science from the University of Oregon. While at UO, his research mainly focused on the interpretability and robustness – and the connection between these two phenomenon – of various deep neural network architectures. Before working at GA, Adam worked as a machine learning research intern at several locations including Sandia National Labs, Visa, and Meta. At GA-ASI, he has, among other things, developed reinforcement learning (RL) agents that can manage their radar cross sections, measured the robustness of RL agents to adversarial attacks, and helped build a framework for testing and training RL agents in AFSIM.