Haoxiang Yang

Haoxiang Yang is a postdoctoral research associate at the Center for Nonlinear Studies (CNLS) at Los Alamos National Lab. He graduated with a PhD degree from the Department of Industrial Engineering and Management Sciences at Northwestern University.

Haoxiang's research focuses on the theory of optimization under uncertainty, specifically in stochastic programming and robust optimization, integer programming and nonlinear programming, with its applications in energy systems, supply chain and logistics, disaster relief and sports analytics.


  • January 2021: I gave a talk on DRO in distribution networks under stochastic disruptions at LANL Grid Science Winter School. (Slides)

  • November 2020: I gave a talk on stochastic disruptions in infrastructure systems and project management problem at UCLA CEE Seminar.

  • November 2020: I gave a talk at the virtual INFORMS Annual Meeting, on distributional network optimization under stochastic disruptions (Talk 1). My collaborator, Jinzhu Yu, will give a talk on our joint work on interdependent network resilience optimization (Talk 2).

  • May 2020: I gave a talk on Data-driven Optimization for Distribution Networks under Stochastic Disruptions at LANL-UA Day (Abstract).