Emily Speakman is an Assistant Professor in the Mathematical and Statistical Sciences Department at the University of Colorado Denver.
Previously, she was post-doctoral research assistant in the Institute of Mathematical Optimization at the Otto von Guericke University in Magdeburg, Germany and a fellow of the Research Training Group in Mathematical Complexity Reduction. Emily graduated with her Ph.D. from the University of Michigan in April 2017 under the supervision of Professor Jon Lee.

Emily's research interests include global optimization and all areas of mixed-integer non-linear programming. Her current projects include: 
  • producing analytic results to guide algorithmic choices for spatial branch-and-bound (this is the algorithmic framework for non-convex global optimization problems)
  • using volume as a measure to compare polyhedral relaxations
  • applying integer programming techniques to the zero-forcing problem on graphs
  • studying lattice-free gradient polyhedra in the context of optimality certificates for convex minimization models