Shayan Shams, Ph.D. is an Assistant Professor at the Department of Applied Data Science at San Jose State University. He is also an adjunct Assistant Professor at the School of Biomedical Informatics (SBMI), and the Institute for Stroke and Cerebrovascular Diseases at the University of Texas Health Science Center (UTHealth Houston).
As a computer scientist and enthusiastic data scientist, Dr. Shams has extensive experience and a strong track record in developing artificial intelligence algorithms for challenging problems in medicine. Dr. Shams has developed novel artificial intelligence based methodologies to identify patterns and biomarkers from biomedical data such as magnetic resonance imaging, X-rays, computer tomography, PPG and EEG signal, and Electronic Health Records (EHR). Dr. Shams has authored more than 34 peer-reviewed articles in prestigious journals including Nature, Journal of Biomedical Informatics, Journal of clinical periodontology. Dr. Shams has received competitive grants from the National Institute of Health, Cancer Prevention Research Institute of Texas (CPRIT) and private foundations.