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Strategic and driven High Performance Computing (HPC) principal engineer with eight years of service management experience in government research computing and extensive leadership in the broader HPC community. Exceptional at engaging and organizing diverse and inclusive teams working towards common technical and operational goals ranging from system procurement to implementing security compliance standards for traditional HPC and Artificial Intelligence (AI) environments.
Skills
- Leadership: Procurement, Strategic Planning, Documentation, Team Engagement, Public Speaking
- Technical: Advanced in Slurm, Python (Pandas, Seaborn, Matplotlib, NumPy), R, and Ansible. Intermediate in C/C++, MATLAB, MPI, SQL, MongoDB, SQL, Git, JIRA.
Experience
Principal High Performance and Analytic Computing Architect, Jan. 2021 - Present
The MITRE Corporation, McLean, VA
- Coordinate and drive strategic planning for the future of High Performance Computing (HPC) at MITRE across system procurement ($20M+), supporting diverse use case including traditional HPC and Artificial Intelligence (AI) workloads, and federating research computing environments across MITRE.
- Directly support MITRE’s sponsors through HPC strategy and roadmap guidance for the procurement, deployment, and ongoing operations of advanced computing systems for mission and research workloads (e.g. NSF TIP).
- Develop training and ommunity engagement for HPC users across the corporation through online modules, group mentoring, advanced training sessions, office hours, and a monthly community of practice session.
- Lead a collaborative and goal-driven team of 12+ employees running production HPC systems including researcher-, data-, software-, and systems-facing operations to support research across the company.
- Design and implement and accounting and reporting systems to track the value of the HPC service including utilization metrics from Slurm, employee data from the corporate Denodo endpoints, and robust user feedback surveys.
- Serve as a data and process subject matter expert for the Organ Transplantation Affinity Group (OTAG) led by the Centers for Medicare and Medicaid Services (CMS) and the Health Resources and Services Administration (HRSA). Develop data workflows and diagrams on patient journeys, standard operating procedures for reporting, and interagency data sharing agreements.
- Provide leadership across the simulation experiment (SIMEX) program in best practices for data collection, analysis, experiment design, and project management to ensure consistency and quality across the program. Led the data collection and analysis team for multiple experiments and led the production of data-driven deliverables.
Lead High Performance and Analytic Computing Engineer, Jun. 2016 - Jan. 2021
The MITRE Corporation, McLean, VA
- Led a team of systems-focused staff and interns in day-to-day operations, researcher support, security compliance, and system procurements.
- Developed training for HPC users across the corporation to include guided sessions and interactive modules on topics ranging from basic to advanced HPC access and job submission skills.
- Provided systems-facing support with cluster administration and leadership on installing and configuring the Slurm scheduler.
- Developed an open-source command line tool,
workbench(available on GitHub), to allow simple interactive submission to Slurm focuesed on AI and GPU workloads to meet growing user demand and needs for straightforward access to the shell, Jupyter Labs, VS Code, and containers. - Supported the 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).
- Recruited and managed teams of senior leaders from government, industry, and MITRE for the MITRE-ATARC Big Data Summit Collaboration Sessions. 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
- Led 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 publicly released toolkit,
transplant2mongo(available on GitHub), for easily viewing and performing analysis on the UNOS the organ transplant system data. - Collaborated on MITRE’s HPC infrastructures and assisted in coordinating the updates and release of the latest version of an internal simulation framework. Organized the transition process for models to run on the MEG infrastructure.
- Managed 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 for Agent-Based Modeling work with the Office of Financial Research.
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.
- 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. Managed project funding and acquisition of resources including computing needs and data sets by collaborating with organizations across MITRE and with the United Network for Organ Sharing (UNOS).
- Collaborated on MITRE’s HPC environments to develop the MITRE Elastic Goal-Directed Simulation Framework (MEG-SF) through the development of the Latin Hypercube and Controlled Sequential Bifurcation designers.
- Designed and developed a Python toolkit, MABM (available on GitHub), for Massive-scale Agent-based Models to support large and complex simulations. This effort resulted in a python module using MPI for distributed simulations.
- Managed serial to parallel runs, data, and output from simulations for the Office of Financial Research using post-processing scripting methods to consolidate data for large-scale visualizations.
- Managed and integrated an internal database to monitor MITRE’s internal research program. Complete reports and analysis for the company on the research program.
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.
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
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
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 Chair, 2022 to Present
Serve as the elected Chair of the Association of Computing Machinery (ACM) Special Interest Group on High Performance Computing (SIGHPC). I lead the executive committee in overseeing a multi-million dollar budget and various activities for the professional society.
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 2023
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
2026: Plenary Production Chair.
2025: Exhibits Chair.
2024: Infrastructure Chair.
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 Present
2027: General Chair.
2021: Networking Chair.
2020: Business Chair.
2017: Publicity Chair.
SIAM Computational Science and Engineering Conference, 2015 to 2021
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
HPC Leadership Institute Co-Tutor, Special Olympics Volunteer and Unified Partner, 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.
https://orcid.org/0000-0002-3941-3895