Medicine’s Satya Sahoo named a fellow of American Medical Informatics Association

Photo of Satya Sahoo

Satya Sahoo, associate professor in the Department of Population and Quantitative Health Sciences, was named a fellow of the American Medical Informatics Association. This achievement signals to colleagues and peers that the recipient is an expert in evidence-based informatics practice and engaged with a community that applies the latest advances in informatics to improve health and health care. 

Sahoo directs the new PhD program in biomedical and health informatics. He also has appointments as associate professor with the Department of Neurology at the School of Medicine, and associate professor of computer and data sciences, and associate professor with in the Department of Electrical, Computer, and Systems Engineering, both with the Case School of Engineering. He also is a faculty member with the Cleveland Institute for Computational Biology.

“Satya Sahoo is focused on several complex analytical techniques that allow for real-time use of vast amounts of data, notably related to the study of epileptic seizures, with an eye on better characterizing this condition to inform more effective treatment,” said Jonathan Haines, chair of the Department of Population and Quantitative Health Sciences. “He also has been instrumental in the development of a new graduate program focused on biomedical and health informatics, which includes a certificate, master’s degree and the PhD. This recognition by AMIA is evidence of his leadership in this dynamic field.” 

In addition to his roles with the medical and engineering schools, Sahoo’s research is focused on developing new data and metadata representation and analysis techniques for biomedical and health care research. Sahoo has led the development of four ontologies in multiple domains, including one for complex neurological disorders, such as epilepsy. His group is focused on the study of brain networks using integrative analysis of multi-modal data for characterizing aberrations that occur in various neurological disorders using novel computational modeling approaches. To address the challenges of data quality and scientific reproducibility in data-driven biomedical research, Sahoo and his group also are developing a comprehensive framework for provenance metadata using provenance ontology and text mining of more than 1.6 million full-text published articles from NCBI PubMed Central. 

AMIA is recognized as the professional home for informaticians whose careers focus on managing and analyzing data produced through biomedical research and health care systems, all eager to harness a wide variety of complex data to answer pressing questions about individual health, clinical care and community well-being. 

Learn more about Sahoo’s research.