Killian R. Wood

Hi! I’m Killian Wood, a 5th year PhD student in Applied Mathematics at the University of Colorado Boulder, and a member of the Dall’Anese group in the department of Electrical, Computer, and Energy Engineering.

My research primarily focuses on stochastic optimization with decision-dependent data. I also have experience with derivative-free optimization, for which I worked on projects in Scalable Guassian-process regression at Lawrence Livermore National Lab, as well as developing novel adaptive step-size schedules for stochastic subspace descent with Stephen Becker. My research interests also include numerical linear algebra and tensor decomposition.