Masoud Rouhizadeh, Ph.D., M.Sc., M.A.
Assistant Professor; Lead, Intelligent Critical Care Center
About Masoud Rouhizadeh
Masoud Rouhizadeh, M.A., Prof.MS., M.S., Ph.D., serves as an Assistant Professor in the Department of Pharmaceutical Outcomes and Policy at the University of Florida. Through the University’s AI in the Health Sciences Initiative, he plays central leadership roles as the Lead for the College of Pharmacy’s AI Task Force and as the Lead for the AI Collaboration Hub at the Intelligent Critical Care Center. Additionally, he holds an Adjunct Assistant Professor appointment within the Division of Biomedical Informatics and Data Science at the Johns Hopkins School of Medicine.
Prior to joining UF, Dr. Rouhizadeh served on the faculty within Biomedical Informatics and Data Science and as the NLP Lead at the Institute for Clinical and Translational Research at the Johns Hopkins University School of Medicine. He also co-founded the Johns Hopkins Center for Clinical NLP (C2NLP). Before Johns Hopkins University, he was a postdoctoral fellow at the Institute for Biomedical Informatics at the University of Pennsylvania. He obtained his Master’s and Ph.D. degrees in Computer Science and Engineering from Oregon Health and Science University. Earlier in his career, he earned a Master’s degree in Human Language Technology from the University of Trento in Italy.
Teaching Profile
Research Profile
Supported by federal grants and contracts from agencies including the CDC, NIA, NIMHD, FDA, NIDA, and PCORI, Dr. Rouhizadeh’s research integrates artificial intelligence (AI) and natural language processing (NLP) to advance innovations in health sciences using real-world data (RWD). He leverages AI/NLP solutions drawing on diverse sources of RWD to drive targeted innovations in three interconnected areas:
1) Enhancing patient phenotyping and clinical concept extraction from both structured and unstructured electronic health records to improve clinical decision support, precision medicine, and patient care;
2) Developing computational models to identify and understand social and behavioral determinants of health, their implications for substance use, mental health outcomes, and overall population health;
3) Investigating linguistic markers indicative of neurological conditions, such as Alzheimer’s disease, related dementias, and autism spectrum disorder, to advance early detection and intervention.
His key accomplishments in this field involve integrating diverse RWD sources, such as unstructured clinical narratives, diagnosis and procedure codes, questionnaires, and insurance claims. This integration enables several critical tasks: extracting clinical concepts (including medication details, signs and symptoms, diagnoses, substance use, mental health outcomes, and social determinants of health); identifying contextual modifiers like history, negation, severity, and duration; creating computable patient-level phenotypes by combining these data sources; and conducting comprehensive analyses for cohort and case-control studies, risk assessment, predictive modeling, and developing clinical decision support systems.
0000-0002-9006-6112
- AI Applications in Healthcare
- AI Applications in Mental Health
- AI-based Analysis of Cognitive and Language Impairments
- Clinical Natural Language Processing
- Identifying Social and Behavioral Determinants of Health from EHR
Publications
Grants
Education
Contact Details
- Business:
- (352) 273-9397
- Business:
- mrouhizadeh@ufl.edu
- Business Mailing:
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PO Box 100496
GAINESVILLE FL 32610 - Business Street:
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1889 Museum Rd.
Room 6012
Malachowsky Hall for Data Science and IT
Gainesville FL 32611