Ethan Rooke

Ethan Rooke is a Postdoctoral Researcher in the Department of Computer Science at the University of Iowa. He completed his Ph.D. under the supervision of Isabel Darcy at the University of Iowa, focusing on geometric and topological techniques in applied mathematics. His current research involves computational neuroscience, particularly in collaboration with James Traer.

• Education:
  • Ph.D. in Applied Mathematics (University of Iowa, advised by Isabel Darcy)

His research interests span geometric and topological methods in computational domains, with applications to neuroscience and algorithmic foundations. Notable work includes developing ZerNet for neural networks on arbitrary surfaces and exploring bounds in semigroup theory.

While primarily focused on academic research, Rooke maintains technical documentation on Nix configuration, high-performance computing, and 3D printer assembly, reflecting interdisciplinary computational expertise. He has no listed scientific awards or formal teaching roles at this time.