Academic innovator connecting microbiology, AI, and digital health.

Prof. Michael Grant leads an interdisciplinary research group exploring how data science, AI, and connected diagnostic systems can transform clinical decision-making. His projects span predictive modeling for infectious disease outbreaks, automated interpretation of microbiology test results, and integration of diagnostics into electronic health platforms. 

Prof. Grant collaborates closely with hospital networks and public health agencies to design real-world applications that enhance patient safety and efficiency. As a recognized advocate for translational research, he frequently contributes to advisory boards on digital transformation in healthcare and the ethical use of diagnostic data for global disease surveillance.