Research

Research Consultant

Full time (Contract), Argonne National Laboratory, Mathematics and Computer Science division, 2022

Currently developing mathematical and algorithmic techniques for directly fitting Monte Carlo simulations to experimental data or data observed in nature using a stochastic trust-region optimization algorithm.
Currently developing a workflow package to efficiently solve derivate-free stochastic optimization problems in a high performance computing environment.

Full time, Argonne National Laboratory, Mathematics and Computer Science division, 2018

Developed and implemented mathematical and algorithmic techniques for approximating expensive functions in High Energy Physics (HEP).
Developed robust optimization and design of experiment formulations to decide weights of importance with the goal of tuning a HEP Monte Carlo simulator.
Developed, maintained, and published HEP analysis packages called apprentice and outer optimization for efficiently constructing polynomial/rational approximations and for performing least squares minimizations.
Publications to come out of this work include CPC’20, CHEP’21, and SCIPOST’22.

Part time, National Institute of Standards and Technology, Life Cycle Engineering, 2015

Designed and populated a repository of reusable mathematical models that were sourced from real-world data, publications, and crowdsourced data.
Developed a software framework and prototype (FactoryOptima) to perform composition, analysis, and optimization on reusable models.
Publications to come out of this work include IEEEBD’14, IEEEBD’15, IEEEBD’16, IJAMT’16, IEEEBD’17, and IJCIM’19.

Part time, George Mason University, Department of Computer Science, 2013

Designed and developed reusable mathematical models for non-linear, stochastic, hierarchical, and temporal manufacturing processes from real-world data.
Designed and developed one-stage stochastic optimization algorithms based on deterministic approximation heuristics.
Developed and published the stochastic optimization algorithm based on deterministic approximations (SODA) to efficiently solve the problem of finding controls for stochastic processes in a large manufacturing service network.
Publications to come out of this work include GMU’14, ICS’15, JDS’15, HICSS’16, JDS’18, and IFIPDSS’18.

Full time, Los Alamos National Laboratory, Theoretical Biology and Biophysics division, 2010

Designed and developed scientific algorithms for highly variable and large scale bioinformatics tools.
Developed and debugged multiple backend modules of the HIV project.
Redesigned the HIV website using Model-View-Controller (MVC) framework and web services.
Publications to come out of this work include BMCbio’13.

Internship, Los Alamos National Laboratory, Theoretical Biology and Biophysics division, 2008

Designed and developed Tree Viewer, Pruner and Decorator tools to perform selection and annotation of Influenza sequences.
Designed and developed a schema for a large Influenza Sequence Database.
Publications to come out of this work include BMCbio’11.