Daniel Mukasa

Daniel Mukasa is an MIT-Takeda Distinguished Postdoctoral Fellow whose research is focused on computational design and experimental fabrication of biomedical materials. In the past, Daniel designed affordable medical devices to monitor conditions such as Covid-19, diabetes, metabolic syndrome, and diseases like phenylketonuria (PKU). A central aim of his work is to optimize methods and tools for detecting low concentrations of biomarkers in sweat. His doctoral research included the creation of QuantumDock, a computational framework for the automated creation of molecularly imprinted polymers, which enabled the development of a novel wearable device for monitoring PKU. He also made significant contributions to NutriTrek, a wearable, electrochemical-sensing patch for metabolite monitoring, applicable for several diseases and nutritional states, including Covid-19 and diabetes. As a postdoctoral fellow, Daniel will expand his use of computational methods from diagnostics to therapeutics. By combining powerful quantum calculations and machine-learning strategies, Daniel’s research aims to design novel therapeutic products for disease treatment.