Bradley A. Maron, MD

Bradley Maron is the Co-Executive Director of the University of Maryland Institute for Health Computing (UM-IHC) and is the Senior Associate Dean for Precision Medicine at the University of Maryland School of Medicine. He is the incoming Editor-in-Chief of the American Heart Association flagship journal Circulation.

Dr. Maron is a recognized physician-scientist in the rapidly growing fields of precision medicine, network medicine, and computational data analysis. Currently, he is engaged as the Co-Principal Investigator in an ongoing study entitled, “Network Medicine and Systems Pharmacology to Advance Precision Medicine in Combined Pulmonary Hypertension,” and a second, as the Principal Investigator, entitled, “Personalized protein-protein interactomes and precision medicine in pulmonary arterial hypertension.” He is also the co-author of more than 230 scientific works including manuscripts published in flagship journals for the American Heart Association, American Thoracic Society and the Nature family discussing how multi-omics technologies can contribute to precision medicine. Dr. Maron is also the co-inventor of several patents or pending patents and is funded by the National Institutes of Health and other organizations.

Under his directorship, the UM-IHC conducts research in AI and applies this powerful technology to bio-monitoring wearable, sensor data, clinical, and many other datasets to revolutionize medicine. The research involves exploring and analyzing the data using various learning models to find hidden patterns and relationships to tackle health related problems. Research is also underway using AI, machine learning and network medicine to identify novel therapeutic targets as well as biomarkers that can be advanced into the Learning Health System. The Institute also leverages immense computational power to analyze and interpret very large amounts of biological data, such as gene sequences, transcriptomics, structural genomics, and more. These analyses can be linked to clinical data and used to anticipate disease, develop improved diagnostic and prognostic tools, and identify novel drug targets as well as disease biomarkers. UM-IHC researchers are also using data science and the Electronic Health Record to improve the way clinical research is performed aiming to generate clinical research data that reflects the communities at-hand, disrupts workflow, and increases the chances of successful findings at lower cost and greater efficiency.