Branch Chief in Data Science and Screening Analytics @ U.S. Citizenship and Immigration Services
Section Chief in Risk Analytics @ US Department of Homeland Security
Master of Science (MS) @
Michigan State University
I have spent the past five years leading technical analysis projects at the Department of Homeland Security and helping to shape the agenda for improving data analysis across the department. In my current position, this includes developing automation and data science techniques for the U.S. Citizenship and Immigration Services screening platform. Previously, I developed risk assessment methodologies
I have spent the past five years leading technical analysis projects at the Department of Homeland Security and helping to shape the agenda for improving data analysis across the department. In my current position, this includes developing automation and data science techniques for the U.S. Citizenship and Immigration Services screening platform. Previously, I developed risk assessment methodologies to fit the decision context for high-level policy questions at the Office of Policy.
Before joining the government, I performed data analysis at the Fermilab Tevatron Collider, looking for new physics signatures in massive datasets through careful statistical analysis and helped maintain and upgrade the triggering system (data acquisition) by developing and implementing algorithms used for real-time decisions.
Branch Chief in Data Science and Screening Analytics @ As Branch Chief for Data Science and Screening Analytics at the Program Management Office for the Fraud Detection and National Security (FDNS) Directorate of U.S. Citizenship and Immigration Services, I lead automation, data science, and analytics projects. From April 2015 to Present (9 months) Washington D.C. Metro AreaSection Chief in Risk Analytics @ As a section chief in risk analytics at the Office of Policy in the Department of Homeland Security, I led technical projects to weigh the potential impacts of policy decisions to determine costs, benefits, and uncertainties and provide the leadership of the department with the information needed to make better decisions. Additionally, I developed tools and techniques to advance risk analysis across the department.
I led a team of nine analysts in providing a risk analysis of the cross-border flows of goods and people in support of the 2014 Quadrennial Homeland Security Review. This project included reviewing relevant academic and government literature, interpreting the results within the decision context of the study, and working across the department and interagency to validate the results.
In 2012, I developed and implemented a MATLAB model to cluster individual tornadoes into larger outbreaks for a strategic national risk assessment. I then presented this methodology at the 2012 INFORMS conference.
Other projects include supporting the development of a cross-departmental risk assessment, helping shape the agenda of the DHS Risk Technical Working Group, and supporting a pilot run by economists in my section in analyzing indirect economic impacts of homeland security incidents using GAMS computable general equilibrium models. From March 2012 to March 2015 (3 years 1 month) Washington D.C. Metro AreaPresidential Management Fellowship Rotation- Risk Analyst @ For my Presidential Management Fellowship rotation, I spent six months as a risk analyst at the Nuclear Regulatory Commission working in the Office of Nuclear Regulatory Research and on the NRC's Risk Management Task Force, led by Commissioner Apostolakis.
For the task force, I wrote sections on DHS risk management efforts and summarized internal and external comments for the final report, now NUREG-2150, A Proposed Risk Management Regulatory Framework, available at http://pbadupws.nrc.gov/docs/ML1210/ML12109A277.pdf.
In the Office of Nuclear Regulatory Research, I primarily worked in the Probabilistic Risk Assessment Branch, learning the SAPHIRE risk analysis software language, which I used to run a risk assessment for a nuclear power plant spent fuel pool and helping to organize a cross-governmental workshop to better understand the monetization of benefits for fatality and injury risk reduction for use in regulatory benefit/cost analyses. From October 2011 to March 2012 (6 months) Risk Analyst @ I co-designed the system architecture and module integration of a MATLAB and SQL Server decision support system for a strategic, multi-hazard probabilistic risk assessment to map DHS programs to risk reduction for strategic planning and budgeting.
I also led the model development and software implementation for a specialized two-week risk analysis for the Counterterrorism Advisory Board, requested by the White House and Undersecretary of National Protection and Programs Directorate (NPPD).
To help with the technical training of new hires, I developed and conducted new hire training sessions on probabilistic risk assessments, event trees, fault trees, and decision trees.
I ran demonstrations of a probabilistic risk assessment prototype using Crystal Ball software for staff from the U.S. House of Representatives, the U.S. Senate, and the Office of Management and Budget. From August 2010 to March 2012 (1 year 8 months) Washington D.C. Metro AreaPostdoctoral Research Associate @ As a postdoctoral research associate at MSU, I automated and simplified many of the computer programs that were used in my doctoral research by developing Python scripts to improve the user interface to make them easier to run by new analysts.
I also trained other postdocs at DØ to run the analysis and communicate the results to minimize disruption with the change in project leadership. From January 2010 to August 2010 (8 months) Research Assistant @ I implemented model independent searches at the DØ experiment as the lead researcher, delivering presentations more than twenty times to the 600-member international collaboration, to three national physics conferences, and at one major international conference.
In addition to my thesis research, I co-led a major detector group as an on-site expert for six months.
See below for more than 100 professional publications as member of the DØ collaboration. My thesis research formed the basis of:
• V.M. Abazov, et al. [D0 Collaboration], “Model Independent Search for New Phenomena in p-pbar Collisions at 1.96 TeV”, Phys. Rev. D 85, 092015, http://link.aps.org/doi/10.1103/PhysRevD.85.092015 (2012).
• J. Piper, “Model Independent Searches for New Physics at the Fermilab Tevatron Collider”, Proceedings of the XLIV Recontres de Moriond: QCD and High Energy Interactions, La Thuile, Italy, http://arxiv.org/abs/0906.3676 (2009).
Additionally, I am one of the main authors on three experimental notes (D0 Notes):
• A. Evdokimov et al., “Model Independent Searches for New Physics”, D0 Note 5777, http://www-d0.fnal.gov/Run2Physics/WWW/results/prelim/NP/N65/N65.pdf (2009)
• A. Evdokimov et al., “Model Independent Searches for New Physics”, D0 Note 5763 (2008)
• S. Caron, M. Kopal and J. Piper, “The B-identification algorithm for Level 2”, D0 Note 4960 (2005)
• Model Independent Searches at D0, 2007 Phenomenology Symposium: Prelude to the LHC, Madison, WI, May 2007.
• Model Independent Searches at D0, April APS, St Louis, MO, April 2008.
• Global Searches at the Tevatron, Recontres de Moriond, QCD, La Thuile, Italy, March 2009.
• Model Independent Searches at D0, New Perspectives, Batavia, IL, June 2009.
• Model Independent Searches at D0 in Leptonic Final States, Brookhaven National Laboratory Particle Physics Seminar, Upton, NY, October 2009.
24 other major internal presentations From May 2005 to December 2009 (4 years 8 months)
Doctor of Philosophy (PhD), Experimental High Energy Physics @ Michigan State University From 2004 to 2009 Master of Science (MS), Physics @ Michigan State University From 2001 to 2004 BSE, Civil and Environmental Engineering @ University of Michigan From 1997 to 2001 Joel Piper is skilled in: Policy Analysis, Program Management, Programming, Monte Carlo Simulation, Statistical Data Analysis, Research, Employee Training, Physics, Operations Research, Java, C++, R, Matlab, Python
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