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Roger Mark conducts research aimed at improving health care through the generation of new knowledge and the application of monitoring technology and clinical decision support by applying physiological signal processing, data science, and machine learning to large collections of critical care data. He launched the NIH-supported 'PhysioNet' in 1999, which provides open access to major collections of well-characterized physiological signals and associated signal processing software. His work with PhysioNet has continued to expand, leading to thousands of research publications worldwide. The NIH-funded project 'Critical Care Informatics' focuses on transforming massive archives of critical care clinical data into new knowledge to improve the efficiency, accuracy, and timeliness of clinical decision-making in intensive care. This project develops and shares large, high-resolution clinical databases containing detailed electronic health record data from ICU and ED admissions, along with monitor waveforms and imaging data. Dr. Mark is firmly committed to making physiologic clinical data freely available to the research community. His research interests also include cardiovascular modeling and predictive modeling for critical care decision support.