Dr. Blumberg's research focuses on developing and applying data-driven computational models of infectious diseases that exhibit the potential of elimination (i.e. R < 1). A key goal has been to elucidate risk factors that tip the balance between disease quiescence and emergence. This involves quantification of the impact of patient-specific or population-wide control interventions. Applications include enhancing trachoma elimination programs, mitigating the impact of SARS-CoV-2 in congregate settings, characterizing the transmission dynamics of healthcare associated infections and identifying factors responsible for the emergence of antibiotic resistance. Dr. Blumberg's involvement in direct patient care provides a practical perspective of the investigations and metrics that have an immediate impact on clinical guidelines and public health.