Ivan Papusha

Ivan Papusha is a computational scientist and engineer. He is currently a senior analyst and subject matter expert in Washington, D.C., with over a decade of research and development experience in autonomy, air and space systems, and artificial intelligence. His (continuing) mission: to seek computational craftsmanship—the virtuous combination of mathematical insight, computing, and experimentation that expands to elegant solutions of engineering problems, and delivers rich new ways to think about the world.

He has a PhD from Caltech, and BS and MS degrees from Stanford University. He is a recipient of the NDSEG Fellowship, a member of IEEE, and the founder of Subgradient.

Autonomy and Machine Learning
Air and Space Systems
Control Theory and Convex Optimization

Earlier Work