Carlos Hernandez is a Master's student at King Abdullah University of Science and Technology (KAUST), within the suPER research group. His research focuses on surface-enhanced Raman scattering (SERS) for the detection of environmental contaminants and biomolecules in complex matrices, combining nanoplasmonic sensing platforms with probabilistic spectral analysis frameworks to achieve detection performance at the single-drop level. He is interested in using machine learning and AI-driven tools to extract quantitative insight from complex spectral datasets. Carlos holds interdisciplinary interests spanning biosensing, optics, and AI-assisted data analysis.