About

Hello, my name is Stephanie Allen, and I am an applied mathematician who is passionate about improving society. I recently successfully defended my dissertation 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 am starting full-time employment at the Johns Hopkins University Applied Physics Laboratory in November 2022 working on data fusion and algorithm development.

Relevant Information

Technical Skills: Optimization, Operations Research, Scientific Computation, Statistics
Research Interests: Inverse optimization, Game theory, Equilibrium Problems, Reinforcement Learning, Parameterization, Multi-Agent Systems
Google Scholar: Google Scholar Profile

Coding Skills

I have experience in a few coding languages and software tools:

Python (Intermediate)
MATLAB (Intermediate)
GAMS (Beginner to Intermediate)

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Papers and Presentations

This section outlines my papers and presentations.

I've worked on a range of projects from the fields of statistics, optimization, and operations research. My dissertation focused upon extending inverse optimization in equilibrium subfields and applying inverse optimization to new infrastructure areas. For more information regarding my research experiences and service, see my resume/CV.

Papers

Allen, Stephanie, Steven A. Gabriel, and Nathan T. Boyd. "Inverse Optimization for Parameterization of Linear Complementarity Problems and for Incentive Design in Markets." Available Soon on arXiv (2022). (Under review by a journal)

Allen, Stephanie, Steven A. Gabriel, and John P. Dickerson. "Using inverse optimization to learn cost functions in generalized Nash games." Computers & Operations Research 142 (2022): 105721.

Allen, Stephanie, John P. Dickerson, and Steven A. Gabriel. "Centralized vs Individual Models for Decision Making in Interconnected Infrastructure." ICML 2022 2nd AI for Science Workshop (2022).

Allen, Stephanie, Daria Terekhov, and Steven A. Gabriel. "A Hybrid Inverse Optimization-Stochastic Programming Framework for Network Protection." arXiv preprint arXiv:2110.00488 (2021). (Under review by a journal)

Allen, Stephanie. "A Two Stage Vehicle Routing Algorithm Applied to Disaster Relief Logistics after the 2015 Nepal Earthquake." arXiv preprint arXiv:1709.00162 (2017). (Published in SIURO)

Allen, Stephanie, David Madras, Ye Ye, and Greg Zanotti. "Change-point detection methods for body-worn video." arXiv preprint arXiv:1610.06453 (2016). (Published in SIURO)

Presentations

ICML 2022 2nd AI for Science Workshop

July 2022

Centralized vs Individual Models for Decision Making in Interconnected Infrastructure

We presented research at the AI for Science Workshop at ICML 2022.

INFORMS 2021

October 2021

Using Inverse Optimization to Learn Cost Functions in Generalized Nash Games

We presented research at INFORMS 2021.

INFORMS 2020

November 2020

A Hybrid Inverse Optimization-Stochastic Programming Framework for Network Protection

We presented research at INFORMS 2020.

INFORMS 2019

October 2019

Working in Reverse: Inverse Optimization Methods for Pyomo in Online Settings

We presented the results of our AMSC664 Advanced Scientific Computing II project at INFORMS 2019.

Joint Mathematics Meetings 2019

January 2019

Working in Reverse: Inverse Optimization in Pyomo

We presented the results of our AMSC663 Advanced Scientific Computing I project at JMM 2019.

Education

Ph.D.

August 2017 - December 2022

University of Maryland-College Park

Applied Mathematics, Statistics, & Scientific Computation: Scientific Computing Track

Master of Science

August 2017 - May 2020

University of Maryland-College Park

Applied Mathematics, Statistics, & Scientific Computation

Bachelor of Arts

August 2013 - May 2017

State University of New York at Geneseo

Double Major: Mathematics and Economics, Minor: Edgar Fellows Honors Program