Manually segmented 3-D corrosion data to identify pit formation using ORS Dragonfly to analyze corrosion growth of AA 7075 and AA 2024 samples under varying humidity and temperaturesAligned computed tomography scans of carbon fiber composites using Python to understand and track polymer particle movement within carbon fiber composite matrixCreated a machine learning algorithm to analyze impurity distribution employing 2-point statistics and impurity models from literature to better understand material behavior due to defects

Directed student team members on the construction of directional carbon fiber layers onto a foam core using resin to create support beams that could withstand masses up to 500 kg using an Instron universal testing machineOrganized the communication with sponsors and ensured the successful delivery of sponsored materials while reaching out to potential sponsorsCommunicated with SAMPE officials to certify competition logistics

Applied adhesive to beam using a vacuum sealer and industrial furnace following industry practices of curing using applied heat and pressure with clay tape and air decompressorsCalculated applied forces on I-beam using modeled carbon fiber sandwich beams drawn with Altair Hyperworks to optimize the strength to weight ratio by determining the ideal ply structure

Employed machine learning modules in Python and MATLAB to build neural networks for material design, in collaboration with Northrop Grumman, using supervised and reinforcement learningCreated and tested generative adversarial networks (GAN) and used proximal policy optimization (PPO) to optimize the inverse design of composite nanophotonic metasurfacesAssisted in the overall authorship of four journal publications and one conference proceeding

Designed brake rotors for 2021 Baja car using Solidworks to lighten weight of part while maintaining strength of designs given external loads by optimizing location and size of brake rotor holes