Education

George Mason University - Fairfax, VA, Dec. 2019
Doctor of Philosophy, Computational Sciences and Informatics Dissertation: Modeling, Simulation, and Analysis of the Organ Transplant System

Richard Stockton College of New Jersey - Galloway, NJ May 2013
Masters of Science in Computational Science

Richard Stockton College of New Jersey - Galloway, NJ Aug. 2011
Bachelor of Science in Computational Science with a Minor in Mathematics

Development Skills

C/C++, Java, Python, Moab/TORQUE, MATLAB, MPI, R, NetLogo, Slurm, MongoDB, JIRA, Git

Experience

Principal High Performance and Analytic Computing Architect, Jan. 2021 - Present
The MITRE Corporation, McLean, VA

High Performance Computing Architect

  • Coordinate and drive strategic planning for the future of High Performance Computing (HPC) at MITRE including system purchases and federating research computing environments across MITRE.
  • Develop training for HPC users across the corporation through online modules, group mentoring, and advanced training sessions.
  • Manage the teams running the production HPC systems including a yearly summer cohort of interns and several full-time staff members.

SIMEX Data Collection Lead

  • Support the simulation experiment (SIMEX) program data collection and analysis efforts for multiple sponsors including the Department of Homeland Security, the Office of the Secretary of Defense, and the North American Aerospace Defense Command in classified and unclassified experiments covering topics ranging from active shooter scenarios to counter-small Unmanned Aircraft Systems (C-sUAS).
  • Provide leadership across the SIMEX program in best practices for data collection, analysis, experiment design, and project management.
  • Lead the data collection and analysis teams for experiments including SIMEX 21-3 and provide support to additional experiments to ensure consistency and quality across the SIMEX program.

Lead High Performance and Analytic Computing Engineer, Jun. 2016 - Jan. 2021
The MITRE Corporation, McLean, VA

High Performance Computing Service Manager

  • Served as the Service Manager for MITRE’s HPC technologies within Corporate Operations.
  • Led purchasing efforts for HPC within the corporation.
  • Provided cluster maintenance including performing installations and updates to the systems as well as monitoring and maintaining the health and status of the clusters and resource managers.
  • Trained all users of the HPC systems to use the systems knowledgeably and responsibly. Provided knowledge and expertise to users to help parallelize code and run applications and software on high performance computing systems.
  • Managed the team running the production HPC systems including a yearly summer cohort of interns and several full-time staff members.

SIMEX Data Collection Lead

  • Coordinated and managed data collection and analysis for the SIMEX program including SIMEX 17-3, SIMEX 18-1, SIMEX 18-3, SIMEX 19-2, SIMEX 20-5, and SIMEX 20-6. These experiments support various government sponsors including the Department of Homeland Security, the Office of the Secretary of Defense, and the North American Aerospace Defense Command in classified and unclassified experiments covering topics ranging from active shooter scenarios to counter-small Unmanned Aircraft Systems (C-sUAS).
  • Architected the entire experiment process including designing the experiment, collaborating with the sponsors on research questions, collecting data for the experiment with live data feeds, executing the analysis, and authoring the final report.
  • Led teams of analysts and developers to architect and perform the data collection and cleaning from live data feeds including Unity Logs and Distributed Interactive Simulation (DIS) data as well as the subsequent statistical and qualitative analysis of the data with R and Python.
  • Provided support for additional experiments run by the program to ensure consistency and quality across all implementations, specifically regarding experiment design, analysis, and data management.

MITRE Organizer of the Federal Big Data Summit

  • Created and managed teams of leads for the MITRE-ATARC Big Data Summit Collaboration Sessions. Teams consisted of four to five senior leaders from government, industry, and MITRE.
  • Co-authored and edited the Summit’s white paper for the June 2015 and the December 2015-2017 Federal Big Data Summit, along with the leads from MITRE.

Senior Simulation and Modeling Engineer, May 2015 - Jun. 2016
The MITRE Corporation, McLean, VA

Analysis of the Organ Transplant System

  • Served as Principal investigator of an Early Career Research Program (ECRP) project sponsored by the MITRE Innovation Program to perform data analysis of the organ transplant system.
  • Lead small teams on performing cost analysis and outcomes research for the Organ Transplant system in the United States in coordination with data from the United Network for Organ Sharing (UNOS).
  • Developed a toolkit for easily viewing and performing analysis on the data on the transplant system, obtained from UNOS. This toolkit is intended for public release.

The MITRE Elastic Goal-Directed Simulation Framework (MEG)

  • Collaborated on MITRE’s High Performance Computing infrastructures and assisted in coordinating the updates and release of the latest version of the MITRE Elastic Goal-Directed Simulation Framework (MEG), MEG 3.0.
  • Organized the transition process for models to run on the MEG infrastructure.
  • Developed models and design of experiments for MEG 3.0.

Office of Financial Research - Agent Based Modeling

  • Led the technical development of the detailed architecture to be transitioned to the Office of Financial Research.
  • Coordinated and organized the development of the companion visualization system, Gyre, with the visualization team on the project.
  • Continued to manage the entire pipeline from serial model updates to visualization of large-scale parallel executions, as well as the large-scale visualization process now in place.
  • Responsible for organizing and running the live demonstrations given to sponsors for the work on this project.

Modeling and Simulation Staff, Jan. 2013 - May 2015
The MITRE Corporation, McLean, VA

  • Worked with MITRE’s senior leadership to develop the corporation’s Student Loan Repayment program.

Analysis of the Organ Transplant System

  • Principal investigator of an Early Career Research Program (ECRP) project sponsored by the MITRE Innovation Program to perform data analysis of the organ transplant system.
  • Manage project funding and acquisition of resources including computing needs and data sets. This involves collaboration with organizations across MITRE and with the United Network for Organ Sharing (UNOS).
  • Perform big data analysis of the organ transplant system in the United States to draw valuable information from the data which can be used to impact policy.

Massive-Scale Agent-Based Modeling Toolkit (MABM)

  • Designed and developed a Python toolkit for Massive-scale Agent-based Models to support large and complex simulations. This effort resulted in a python module using MPI for distributed simulations.
  • Developed the code base for agent synchronization across multiple processors. Novel techniques for synchronization in the field of Agent-Based Modeling were implemented which led to an increase in efficiency for cross-process communication.

The MITRE Elastic Goal-Directed Simulation Framework (MEG)

  • Collaborate on MITRE’s High Performance Computing infrastructures. Work to develop the MITRE Elastic Goal-Directed Simulation Framework (MEG-SF) through the development of Design of Experiment methods.
  • Developed the Latin Hypercube and Controlled Sequential Bifurcation Designers for the MEG Architecture aligned with the Agile Quantitative System Engineering for Complex Scenarios MIP project.
  • Designed and managed simulations for benchmarking on Amazon Web Services.

Office of Financial Research - Agent Based Modeling

  • Responsible for generating scripts and managing simulation runs for various sponsor projects. Manage data and output from simulations using post-processing scripting methods to consolidate data for large-scale visualizations.
  • Managed the entire pipeline from serial model updates to visualization of large- scale parallel executions. Responsible for compiling and running demonstrations for the project sponsor.

DHS - Operational Context Analysis

  • Create Operational Context Charts using aspects of Business Process Modeling Notation (BPMN) to support HSARPA’s R&D Strategy plans and Industry Webinars.
  • Supported additional projects in HS SEDI by developing Operational Context Charts for GPS Activity.

MIP Process Management

  • Manage and integrate an internal database to monitor MITRE’s internal research program. Complete reports and analysis for the company on the research program.
  • Developed reports for presentation to the Engineering council on the MIP Program including the MITRE Millennials Report and the Annual Strategy Market Report.

Fellow May 2012 - Aug. 2012
Open Science Data Cloud, Edinburgh, UK

  • Joined the University of Edinburgh School of Informatics team in an internship sponsored by the National Science Foundation to develop software services for integrating, analyzing, sharing, and archiving scientific data.
  • Collaborated with faculty to study and implement methods to facilitate large data transfers using Globus Online. Work focused on data transfer for brittle rock failure experiments in the EFFORT project.

Student IT Intern Jan. 2012 - Jun. 2012
Spencer Gifts, Egg Harbor Twp., NJ

  • In a team environment, participated in the software design and development of a SharePoint intranet to enable regional and national users to share product, financial, and management data.
  • Implemented programs in XML, SQL, and C# to manage data workflows, con- tent and reports.

Student Technical Assistant May 2009 - Aug. 2009
Maryland Department of the Environment, Baltimore, MD

  • Interned as the sole Student Technical Assistant for the state Air Monitoring Program.
  • Created software tool in Java for browsing archived meteorological data with user input. This allowed the department meteorologists to easily navigate through images.

Student Mentee May 2007 - May 2008
Army Research Lab, Aberdeen Proving Ground, MD

  • Participated in a capstone research project in accordance with the Army Research Laboratory
  • Completed a computational analysis of the effects of bin width on the estimated dispersion of the M1028 Canister Round, for the Weapons and Materials Research Directorate.

Publications

Book Chapters

M. Koehler, S. Michel, D. Slater, C. Harvey, A. Andrei, and K. Comer, “Investigating the Effects of Network Structures in Massive Agent-Based Models of Tax Evasion,” in Agent-based Modeling of Tax Evasion, John Wiley & Sons, Ltd, 2018, pp. 225–253.

Papers

C. Harvey and R. S. Weigel, “Transplant2Mongo: Python Scripts that Insert Organ Procurement and Transplantation Network (OPTN) Data in MongoDB,” Journal of Open Research Software, vol. 7, no. 1, p. 5, 2019. [Online]. Available: http://doi.org/10.5334/jors.229.

C. Harvey, S. Rosen, J. Ramsey, C. Saunders, and S. K. Guharay, “Computa- tionally and statistically efficient model fitting techniques,” Journal of Statistical Computation and Simulation, vol. 87, no. 1, pp. 123–137, Jan. 2017.

Conference Proceedings

C. Harvey and J. Thompson, “Exploring Advantages in the Waiting List for Organ Donations,” in Proceedings of the Winter Simulation Conference 2016, Arlington, VA. 2016.

S. Rosen, P. Salemi, E. Catlett, C. Harvey, B. Wickham, and A. Williams, “Parallel Empirical Stochastic Branch and Bound for Large-Scale Discrete Optimization via Simulation,” in Proceedings of th Winter Simulation Conference 2016. Arlington, VA. 2016.

C. Harvey, “The kidney transplant process model (KTPM): simulation tool for the transplant process,” in Proceedings of the Summer Computer Simulation Conference, Montreal, Canada, 2015, Article 13.

C. Harvey, S. Rosen, S. Guharay, J. Ramsey, and C. Saunders, “Computationally and Statistically Efficient Model Fitting Techniques,” in Proceedings of the PyHPC Workshop at Supercomputing 2014, New Orleans, LA. 2014.

R. L. Grossman, M. Greenway, A. Heath, R. Powell, R. Suarez, W. Wells, K. White, M. Atkinson, I. Klampanos, H. Alvarez, C. Harvey, and J. Mambretti, “The Design of a Community Science Cloud: The Open Science Data Cloud Perspective,” in SC Companion 2012, Salt Lake City, UT. 2012, 1051-1057.

Posters & Presentations

C. Harvey and A. Gartner, “Corporate Tools for GPU Access and Software Devel- opment,” presented at GPU Technology Conference 2019, San Jose, CA. 2019.

C. Harvey and J. Gentile, “Synchronization Methods for Distributed Agent Based Models,” presented at PyCon 2017, Portland, OR. 2017.

C. Harvey and J. Gentile, “Massive-Scale Agent Based Modeling in Python,” pre- sented at Swarmfest 2016. Burlintgon, VT. 2016.

C. Harvey, “The Kidney Transplant Process Model,” presented at the Winter Sim- ulation Conference 2015, Huntington Beach, CA. 2015.

C. Harvey and J. Gentile, “Synchronization Methods for Distributed Agent Based Models,” presented at the Women in HPC Workshop at the Supercomputing Confer- ence 2015, Austin, TX. 2015.

C. Harvey, “The Kidney Transplant Process Model,” presented at the Summer Simulation Conference PhD Colloquium 2015, Chicago, IL. 2015.

C. Harvey and J. Gentile, “Synchronization Methods for Distributed Agent Based Models,” presented at the Winter Simulation Conference 2014, Savannah, GA. 2014.

Other

C. Harvey, J. Brunelle, R. Campbell, R. Eng, A. Tall, H. Vafaie, A. Verma, T. Suder, and T. Harvey, “December 2017 Federal Big Data Summit Report,” published following the December 2017 Federal Big Data Summit, Washington, DC. 2017.

C. Harvey, M. Mickelson, R. Campbell, M. Richey, R. Natale, H. Vafaie, T. Suder, and T. Harvey, “December 2016 Federal Big Data Summit Report,” published fol- lowing the December 2016 Federal Big Data Summit, Washington, DC. 2016.

C. Harvey, M. Mickelson, H. Tang, R. Natale, J. McEwen, T. Suder, and T. Harvey, “June 2016 Federal Big Data Summit Report,” published following the June 2016 Federal Big Data Summit, Washington, DC. 2016.

C. Harvey, L. Moretto, H. Vafaie, I. Vayndiner, N. Hamisevicz, T. Suder, and T. Harvey, “December 2015 Federal Big Data Summit Report,” published following the December 2015 Federal Big Data Summit, Washington, DC. 2015.

C. Harvey, Z. Firth, D. Moore, J. Soehlke, I. Vayndiner, S. Wijesinghe, T. Suder, and T. Harvey, “June 2015 Federal Big Data Summit Report,” published following the June 2015 Federal Big Data Summit, Washington, DC. 2015.

Volunteer Activities & Honors

SIGHPC Treasurer, 2019 to Present
Member of the executive committee for the Special Interest Group on High Performance Computing (SIGHPC) as the Treasurer. Responsibilities include managing the SIG’s budget, developing pipelines for funding new programs, and evaluating operating costs.

SIGHPC Membership Coordinator, 2017 to 2021
Member of the executive committee for the Special Interest Group on High Performance Computing (SIGHPC) as the Membership Coordinator. Responsibilities include monitoring and promoting membership in the special interest group and managing the yearly booth at the Supercomputing Conference.

SC Steering Committee, 2020 to Present
Member of the SC steering committee which oversees the annual conference on High Performance Computing, Networking, Storage, and Analysis.

The Supercomputing Conference, 2014 to Present
2023: Executive Director.
2022: Housing Chair.
2021: Security Chair.
2021: Technical Program Research Posters Committee.
2020: Students@SC Chair on the Executive Committee.
2019: Communications Liaison for Live Events.
2019: Technical Program Paper Reviewer.
2018: Student Volunteers Chair.
2017: Social Media Chair and Student Outreach Chair.
2016: Student Outreach Chair.
2015: Student Volunteers Committee Member.
2014: Broader Engagement Committee Member.
2013: Broader Engagement Participant.
2012: Wireless SCinet Student Volunteer.
2011: Student Volunteer.

SIAM Industry Committee, 2022 to Present
Member of the SIAM Industry Committee which advises the SIAM Vice President for Industry on issues related to SIAM products, services, programs and membership of relevance to SIAM’s industrial members.

Winter Simulation Conference, 2017 to 2021
2021; Networking Chair.
2020: Business Chair.
2017: Publicity Chair.

SIAM Computational Science and Engineering Conference, 2015 to Present
2021: Committee member for the Broader Engagement program.
2019: Committee member for the Broader Engagement program.
2017: Committee member for the Broader Engagement program.
2015: Committee member for the Broader Engagement program.

International Conference on Parallel Processing (ICPP), 2018
Vice Proceedings Chair

Awards

Modern-Day Technology Leader, BEYA STEM Global Competitiveness Conference (2022)
WinterSim Board Award for Outstanding Leadership and Service (2021)
Open Science Data Cloud Fellowship, University of Amsterdam (2016)
Open Science Data Cloud Fellowship, University of Edinburgh (2012)
Maryland Department of the Environment Secretary’s Award for Intern Innovation (2009)
Richard Stockton College Provost Scholarship (2008-2011)

Other Activities

Stockton College Field Hockey, NFHCA National Academic Squad (08-09), MITRE Softball Treasurer, Adult Co-Ed Soccer Enthusiast, City Impact Tutor, Mentor for the MITRE Intern Program and Young Women in Engineering Day.

ORCID iD iconhttps://orcid.org/0000-0002-3941-3895




The best way to reach me is through e-mail or a LinkedIn message.