Killian R. Wood

PhD Cantidate, Applied Mathematics


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.

selected publications


  1. Stochastic saddle point problems with decision-dependent distributions
    Killian Wood, and Emiliano Dall’Anese
    SIAM Journal on Optimization, 2023
  2. Online Saddle Point Tracking with Decision-Dependent Data
    Killian Reed Wood, and Emiliano Dall’Anese
    In Learning for Dynamics and Control Conference, 2023


  1. Online projected gradient descent for stochastic optimization with decision-dependent distributions
    Killian Wood, Gianluca Bianchin, and Emiliano Dall’Anese
    IEEE Control Systems Letters, 2021