Masoud Rouhizadeh, Ph.D., M.Sc., M.A.

Dr. Masoud Rouhizadeh is an Assistant Professor in the AI in Health Sciences initiative at the University of Florida (College of Pharmacy) and the Lead of the AI Collaboration Hub at the UF Intelligent Critical Care Center. Before joining UF, he was a faculty member at Johns Hopkins Medicine, where he currently holds an Adjunct Assistant Professor position. At Johns Hopkins, he co-founded the Center for Clinical Natural Language Processing (C2NLP) and co-led AI and NLP initiatives at the Institute for Clinical and Translational Research. He completed his postdoctoral fellowship at the University of Pennsylvania’s Institute for Biomedical Informatics. He holds a PhD and a Master’s degree in Computer Science and Engineering from Oregon Health and Science University, and a Master’s degree in Human Language Technology from the University of Trento, Italy.

Dr. Rouhizadeh’s research is supported by federal grants from agencies including the CDC, NIA, NIMHD, FDA, NIDA, and PCORI. His work focuses on developing large language model (LLM) pipelines for healthcare data integration, specifically for identifying social, behavioral, and mental health outcomes, substance use patterns, and Alzheimer’s disease risk factors. He also leads the development of informatics infrastructure for multi-site healthcare research networks. With over 16 years of experience in clinical NLP and biomedical informatics, Dr. Rouhizadeh has established a track record of translating AI innovations into practical clinical applications, with particular emphasis on implementation science.

Supported by federal grants and contracts from agencies including the CDC, NIA, NIMHD, FDA, NIDA, and PCORI, Dr. Rouhizadeh’s research integrates cutting-edge artificial intelligence (AI)—particularly natural language processing (NLP) and large language models (LLMs)—to enhance health outcomes through real-world data analysis.

With extensive training in biomedical informatics, computer science, linguistics, and machine learning, combined with leadership experience, Dr. Rouhizadeh is uniquely positioned to lead innovative research in this field. As a faculty member in the University of Florida’s AI in Health Sciences initiative and a core member of the College of Pharmacy’s AI Task Force, he develops large-scale AI solutions for healthcare. This builds upon his experience at Johns Hopkins University, where he co-founded the Center for Clinical NLP and led NLP efforts at the Institute for Clinical and Translational Research, creating pioneering AI solutions with significant clinical impact.

Dr. Rouhizadeh’s research applies AI and LLMs to extract valuable insights from diverse healthcare data sources, including unstructured electronic health records, patient-reported outcomes, lab tests, and claims data. He focuses on extracting key details, developing computable phenotypes for individuals and populations, and creating precise, data-driven health condition profiles. These phenotypes support predictive modeling, risk assessment, personalized treatment planning, and population health management. A key emphasis of his research is explainability; he prioritizes interpretable AI methods to ensure that generated insights are transparent and clinically relevant, enhancing their utility in healthcare decision-making.

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• AI-driven extraction and analysis of mental health outcomes, including suicidal behavior, anxiety, and depression.
• Analyzing substance use patterns and their impact on vulnerable populations.
• Developing AI tools for early risk assessment in Alzheimer’s Disease and Related Disorders (ADRD).
• Investigating linguistic markers for early detection of neurological conditions.
• Large Language Models (LLms) and Natural Language Processing (NLP)
• Studying population health, focusing on social and behavioral determinants of health.