Mohammad Samie Tootooni

Mohammad Samie Tootooni is an Assistant Professor in the Department of Health Informatics and Data Science at Loyola University Chicago, with a secondary appointment in the Center for Health Outcomes and Informatics Research. He holds a PhD in Industrial and Systems Engineering from Binghamton University (2016) and completed a postdoctoral fellowship at Mayo Clinic's Department of Health Sciences Research (2016-2018).

His research focuses on applying artificial intelligence, machine learning, and systems engineering principles to improve healthcare outcomes. Core areas include clinical decision support systems, predictive analytics for complex healthcare systems, and natural language processing (NLP). He also explores quality assurance, optimization, and systems thinking to address challenges in healthcare delivery and patient care.

Recent work emphasizes AI-driven solutions for medication management in ICUs, ECG-based disease prediction (e.g., coronary heart disease, preeclampsia), and addressing therapeutic inertia in hypertension treatment. His methodologies combine machine learning with clinical data analysis to bridge gaps between engineering and medical practice.

Teaching responsibilities include courses on health informatics ontologies and NLP applications in healthcare. His interdisciplinary collaborations span clinicians, data scientists, and engineers to tackle real-world healthcare problems.