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School of Health Research

Aaron Masino, Ph.D


Associate Professor
School of Computing
College of Engineering, Computing and Applied Sciences
amasino@clemson.eduFaculty Profile


Dr. Masino is an Associate Professor in the School of Computing at Clemson University and holds the Clemson University Center for Human Genetics Dr. Gary Spitzer Endowed Distinguished Professorship in Genomics. Prior to joining Clemson University, Dr. Masino served as Vice President of Clinical Data Science at AiCure from 2021-2023 where he led research on Artificial Intelligence (AI) methods to characterize central nervous system disorders. He was previously an Assistant Professor of Informatics in the Department of Anesthesiology and Critical Care at the Perelman School of Medicine at the University of Pennsylvania from 2019- 2021 and a biomedical informatics scientist in the Department of Biomedical and Health Informatics at the Children's Hospital of Philadelphia from 2011-2021 where his research group focused on the application and development of AI based clinical decision support tools for pediatric medicine including machine learning model development for sepsis prediction, utilization of wearable device data to recognize stress in individuals with Autism, and deep learning methods to detect latent concepts in electronic health record (EHR) data. From 2004- 2011, Dr. Masino served as a senior scientist at MZA Associates Corporation and SAIC where he developed adaptive optics control algorithms. He served in the U.S. Air Force from 1997-2002, primarily as a launch crew commander for the Boeing Delta space launch program. He received his PhD in Applied Mathematics from the University of Central Florida in 2004. He also holds a MEng in Aerospace Engineering from the University of Colorado in Colorado Springs and a BA in Mathematics from Rutgers University.

How their research is transforming health care

Dr. Masino’s current research includes two primary focus areas that could have significant impact on healthcare delivery and patient outcomes. The first is the development of AI methods for bioinformatics and clinical decision support (CDS) tools that will inform rare genetic disorder research and diagnosis. The second is the development of AI for CDS tools in hospital settings, specifically intensive and critical care units, that will aid clinicians in early recognition of dire health events such as late onset sepsis.

Health research keywords

AI, XAI, Bioinformatics, Machine Learning, Data Science, Natural Language Processing, Clinical Decision Support, Phenomics, Phenotyping, Rare Genetic Disorders, Sepsis

News and related media

Researchers use health data tools to rapidly detect sepsis in newborns