Noah Conner

I have conducted research in several areas of computational science. I began my research journey in novel computational hardware research and design under Dr. Vikram Deshpande at the University of Utah. Here I used low temperature electrical spectroscopy to study nanoelectromechanical devices and their application to novel Majorana computing techniques. I then moved to the lab of Dr. Eric Montoya, where I utilized micromagnetic simulation to study the modal stability of nanowire spin Hall oscillators. This work had implications in magnonic computing, neuromorphic computing, and microwave generation.

I have also done work at Caltech under Dr. Oscar Bruno on numerical algorithms for the scattering problem. I designed several novel implementations of the interpolated factored green's function method for the Neumann sound-hard boundary condition. This was exploratory work which has applications in both the acoustic and electromagnetic scattering problems.

At the University of Michigan, I plan to continue my interdisciplinary computational work to meld numerical algorithms with impactful real-world applications. The breadth and flexibility of the Applied and Interdisciplinary Mathematics PhD program (AIM) at the University of Michigan will allow me to study interesting computational problems in Medical Mathematics, Quantum Computing, and General Relativity. In addition, my experience at AIM with help from DOE CSGF will jumpstart my future career and allow me to continue to tackle impactful interdisciplinary problems in mathematics.