Ahmed Salih

Ahmed Salih is a graduate student in mechanical engineering bridging theory and experiment to develop wearable contact lens biosensors enabling continuous metabolite monitoring for critical care. Current blood assays remain episodic and delayed, often returning hours after sampling. Ahmed engineered surface-enhanced Raman spectroscopy-active contact lenses detecting lactic acid and uric acid—biomarkers of metabolic stress—across clinically relevant concentrations. He processes raw spectra through computational pipelines for baseline correction and spatial enhancement mapping to identify pixels carrying real signal. As a MathWorks Fellow, Ahmed will advance multivariate deconvolution using principal component analysis and partial least squares regression. The resulting platform could make continuous metabolite monitoring possible in settings where laboratory infrastructure is unavailable but timely clinical decisions are essential.