• PhD researcher in the Christos Maravelias group with research in the general area of distributed large scale supply chain optimization with experience in stochastic and mixed-integer linear programming.•Developed a general stochastic mixed integer linear programming model for biofuel supply chains that integratesspatially explicit biomass yield uncertainty and landscape design to minimize cost and environmental impact.•Collaborated across disciplines to create a framework for generating realistic high-resolution biomass data and usedsupply chain optimization to find holistically sustainable and economically favorable designs.•Leveraged understanding of computer science and mathematical programming to implement problem specific spatialdecomposition methods and heuristics which enabled more complex instances to be solved.

•Investigated the deposition rates of asphaltenes in various crude oils and contributed to a better understanding of commercial and crude-specific deposition inhibitors using a novel packed bed test.•Produced exercises, solution manuals, and interactive modules for Essentials of Chemical Reaction Engineering (2 ed.).•Analyzed and presented large amounts of data generated during experimentation to guide further research directions and prepare reports which provided a better classification of promising deposition inhibitors.

•Studied the in-vitro and in-vivo binding affinity, effectiveness, and stability of sonosensitive micro-droplet emulsions.•Performed data analysis to determine the blood vessel growth efficiency of micro-droplet laden scaffolds in mice.

•Created quantitative and qualitative test methods to evaluate the effectiveness of super-hydrophobic coatings applied to roof shingles, authored an economic assessment, and presented recommendations for future research directions. •Overhauled existing manual research tasks by automating the collection, presentation, and analysis of data.