Background
Matthew Robinson, MD, is Assistant Professor in the Division of Infectious Diseases at Johns Hopkins University School of Medicine. He is interested in leveraging diagnostic innovation and precision medicine to reduce diagnostic and prognostic uncertainty for infectious diseases. His current projects include applications in global health, antimicrobial resistance, antibiotic stewardship, infection control, COVID-19, acute febrile illness, and tuberculosis.
After undergraduate and medical school at Northwestern University, he completed internal medicine residency at New York University and Infectious Diseases fellowship at Johns Hopkins School of Medicine. During medical school, he worked at the Chinese Center for Disease Control and Prevention in Beijing, China under a Doris Duke International Clinical Research Fellowship. He also served as a clinician educator in internal medicine in Gulu, Uganda at the Gulu University Faculty of Medicine as a Global Health Service Partnership volunteer. As a fellow, he pursued a Fogarty Global Health Fellowship in Pune, India and an Antibacterial Resistance Leadership Group Fellowship.
Since joining the faculty in 2019, Dr. Robinson has been supported by the Centers for Disease Control and Prevention, National Institutes of Health, and Food and Drug Administration. The focus of his work in antimicrobial resistance, antibiotic stewardship, infection control has been to characterize drug-resistant Gram-negative infections in India. His work with the Johns Hopkins Precision Medicine Center of Excellence for COVID-19 has included applying machine learning and causal inference techniques to predict COVID-19 outcomes. He has contributed to SARS-CoV-2 diagnostic development through the NIH Rapid Acceleration of Diagnostics (RADx) initiative and through collaborative development of other novel diagnostics.
Patient Ratings & Comments
The Patient Rating score is an average of all responses to physician related questions on the national CG-CAHPS Medical Practice patient experience survey through Press Ganey. Responses are measured on a scale of 1 to 5, with 5 being the best score. Comments are also gathered from our CG-CAHPS Medical Practice Survey through Press Ganey and displayed in their entirety. Patients are de-identified for confidentiality and patient privacy.