About
Hello, my name is Stephanie Allen, and I am an applied mathematician who is passionate about using quantitative methods to inform policy decisions. I completed my Ph.D. in the Applied Mathematics, Statistics, and Scientific Computation (AMSC) Ph.D. Program at the University of Maryland, College Park. My dissertation is entitled: Working in Reverse: Advancing Inverse Optimization in the Fields of Equilibrium and Infrastructure Modeling. I was advised by Dr. Steven A. Gabriel and Dr. John P. Dickerson. I was funded from my second year onward in my Ph.D. by a Graduate Fellowship for STEM Diversity (GFSD) external fellowship award.
I currently work on data fusion and graph analytics efforts at the Johns Hopkins University Applied Physics Laboratory in my capacity as an assistant project manager and as a technical lead.
Relevant Information
- Technical Skills: Optimization, Operations Research, Scientific Computation, Statistics
- Research Interests: Inverse optimization, Game theory, Equilibrium Problems, Reinforcement Learning, Parameterization, Multi-Agent Systems
Coding Skills
I have experience in a few coding languages and software tools:
- Python (Intermediate)
- MATLAB (Intermediate)
- GAMS (Beginner to Intermediate)