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Ivan Papusha is a computational scientist and engineer. He is currently a senior analyst and data subject matter expert in Washington, D.C., with over a decade of research and development experience in autonomy, air and space systems, artificial intelligence, formal methods, mathematics, and control theory. His (continuing) mission: to seek out the beauty of and solve problems that demand a degree of computational craftsmanship—through the application of computer code, interplay of sensing, data, modeling, simulation, and novel interaction of the cyber and physical worlds.

With interests that span a variety of technical and policy domains, he is driven to push the boundaries of technology: he has designed sensitive scientific instruments that flew aboard NASA aircraft and spacecraft; verified aircraft collision avoidance algorithms with the FAA; developed high performance physics, image processing, and computational geometry algorithms; and wrote software to find efficient interplanetary trajectories. On Earth, he has built accurate clocks and contributed to data policy.

He has a PhD in Control and Dynamical Systems from Caltech, and BS and MS degrees in Electrical Engineering from Stanford University. He is a recipient of the NDSEG Fellowship, is a member of the IEEE, and the founder and CEO of Subgradient.

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