• Fuel Cost Model: Adapted a discrete-time control process for decision making under uncertainty to generate non-traditional data• Markov Decision Processes as Networks: Utilized network theory to build an alternative representation of non-traditional data resulting in streamlined analytics and a greater understanding of how information influences decisions in uncertain environments• Parametric Roll Predictive Modeling: Determined ship responses in varying sea conditions and used predictive modeling to identify leading indicators of unfavorable outcomes in early stage ship design – presented research at conference in Yokohama, Japan

Interviewed 36+ nominees for executive positions and presented the committee’s assessment of each nominee to the Assembly

Allocated annual budget of $800,000 to improve student life through various projects including mental health resource expansion and outreach, free food pantries, scholarship funds, and student organization funding

• Instructed lab of 30 students in designing, building and testing ROVs, and supervised 30 project team mentors across five lab sections

• Mined digital sales data for trends and patterns to optimize Target’s use of digital flexible fulfillment options – store pick up, ship from store, or ship from distribution center – positioning Target to aggressively compete with top global e-commerce competitors • Vetted and analyzed ten unique fulfillment variables which initiated the reallocation of inventory in the supply chain, resulting in a 34% average annual growth in digital sales

• Conducted time study of manufacturing operations to identify inefficiencies in the production process and collaborated with a Lean Six Sigma team to implement improvements to manufacturing processes • Initiated and executed the development of a metal, stackable pallet to reduce loss of inventory during transport of ship materials across the shipyard; secured funding of $600 per pallet