• Statistical Process Control (SPC) Lead for all customer audits: preparing material, directly interfacing with customers on a regular basis, answering questions and handling all follow-ups• Lead cross-functional Continuous Improvement Process team, with stakeholders from 14+ departments • Reduced SPC Interlock Rate from 2.3% to 1.8% (a 22% reduction) by creating a process flow maps, reference documents, and team member training• Served as lead SPC trainer for the factory for foundry and automotive customers, creating and delivering an SPC course• Mentored current managers that are new to leadership, giving guidance on how to achieve the team’s objectives and represent the team externally• Received two president’s awards for SPC Noise Reduction Initiatives in 2022, and Grade Alignment Project in 2023 (10 given per year for the company)

• Led team of 13 engineers, organizing roles and responsibilities and guiding team members’ day-to-day work• Shifted team’s tactic from creating more interlocks to a balanced approach maximizing signal-to-noise ratios• Reduced interlock rate from 7% to 3.5%, increasing production and making it easier to understand where the true problems are• Led factory recovery through power loss events and planned maintenance days, ensuring no impacts to quality

• Managed SPC, PpK, and Off-Target projects and communicated to headquarters, internally with other departments, and externally to customers, including material creation and audits• Increased on-time closure rate of Out of Control Action Plans (OCAP) from 67% to 97% by creating audit procedures and aligning methodologies with headquarters

• Instructed multiple Nuclear Safeguards and Security courses including preparing International Atomic Energy Agency (IAEA) inspectors. Performed both lecturing and practical lab component.• Produced a wide range of Monte Carlo N-Particle eXtended (MCNPX) models for simulating various photon and neutron Non-Destructive Assay (NDA) systems being researched. • Functioned as a researcher both individually for smaller compartmentalized task, and as part of teams, such as a multi-lab effort to design an array of NDA systems to quantify plutonium in spent fuel assemblies.• Interacted and collaborated with a broad range of people from different backgrounds as a member of various projects working with other research labs, universities, and foreign institutions. • Effectively communicate ideas with peers in written papers and oral presentations.

• Instructed practical lab component of Nuclear Safeguards and Security course for students.• Performed experiments in collaboration with Idaho National Lab (INL) evaluating active interrogation techniques using gamma ray pulses to detect the presence of Special Nuclear Material (SNM).• Produced MCNPX models calculating the detection response of an Active Well Coincidence Counter (AWCC) to the interrogation of Highly Enriched Uranium (HEU) Materials Testing Reactor (MTR) fuels. Models were corroborated by experimental data and used to predict the calibration curve for Low-Enriched Uranium (LEU) MTR fuel.• Worked on MCNPX modeling of Japanese reprocessing plant designs for detection of SNM holdup.

• Implemented MCNPX calculations to test the feasibility of using neutron coincidence counting around the cold trap and outside of the product cylinder bays in a Gaseous Centrifuge Enrichment Plant (GCEP) to detect production of illicit HEU.

• Developed methodology for assessing nuclear terrorism pathways with a Bayesian network using Netica to predict nuclear weapons development pathways used by both state and non-state actors for masters thesis.

• Assisted in Monte Carlo simulations for monitoring nuclear weapons development