Undergraduate Researcher (Materials Science / Automation)
Materials For Opto/electronics Research & Education (MORE) Center
- Engineered automated workflows and infrastructures using R to streamline the data processing pipeline for collected datasets.
- Generated comprehensive datasets by incorporating the chemical composition of samples and CSV files detailing 3D coordinates of material surfaces. Employed instruments such as Optical Profilometry (OP) and SEM/EDS.
- Automated data cleaning procedures, including normalization, auto-cropping, auto-rotation, and error identification in data. This optimized data quality and facilitated the efficient extraction of key parameters.
- Extracted valuable insights, such as surface roughness, degree of surface curvature, and concentration of specific chemical compositions, through end-to-end workflows designed to process a variety of inputs.