Abbas Zavar
Professor @George Brown Polytechnic
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WORK HISTORY
Professor @George Brown Polytechnic
Toronto, ON, CA
Course: Health Informatics Technology and Clinical Practice II (COMP 4051)- Precision Medicine Module: Leading Health Informatics students on a journey through the complex world of precision medicine. Highlighting its vital role in patient care, the importance of data-sharing initiatives, and its implications for ongoing research. Class activities are centred around envisioning and formulating the requirements for a comprehensive precision medicine blueprint, with a special focus on integrating AI solutions. Recognizing AI as a cornerstone for an effective holistic precision medicine approach.
EDUCATION
George Brown Polytechnic
English for Academic Purpose
University of Toronto - Rotman School of Management
Healthcare Analytics: AI, Big Data & Digital Transformation
University of Toronto School of Continuing Studies
Data Sciences
Harvard T.H. Chan School of Public Health
Certificate, AI for Health care
University of Toronto
Fellowship, AMS-Fitzgerald Fellowship in AI and Human-Centred Leadership
The G. Raymond Chang School of Continuing Education at Toronto Metropolitan University
Certificate , Health Informatics
University of Toronto
Master’s Degree , Health Informatics
Mashhad University of Medical Sciences
Master's degree, Public Health
Rafsanjan University of Medical Sciences
Doctor of Medicine - MD
SKILLS
ABOUT ABBAS ZAVAR
Dr. Abbas Zavar is a futurist physician–scientist with over two decades of experience in medicine, digital health, AI, and health information technology. His career spans clinical practice, digital health consulting, and clinical AI science, demonstrating his tech-savvy expertise and strong dedication to transforming healthcare. He holds a Doctor of Medicine (MD), a Master of Public Health (MPH), and a Master of Health Informatics (MHI) from the University of Toronto, supplemented by specialized coursework and fellowship training in AI in healthcare (Harvard and University of Toronto). A firm supporter of \"Personalized Medicine (PM)\", Abbas describes PM as providing the right clinical intervention—diagnosis, prevention, and treatment—to the right individual at the right time. He advocates this vision through various roles:* Personalized Medicine Thought Leadership: Advancing personalized medicine through evidence-based leadership—publishing, speaking engagements, and bringing together diverse stakeholders to translate AI and clinical data science into practical, ethical care models. Building strong connections among clinicians, researchers, industry, and health partners to shift from reactive to proactive, data-driven, personalized medicine at scale.* Clinical AI Scientist & Digital Health Leader: Designing responsible pathways for large-scale AI-enabled solutions, focusing on governance and operational readiness among clinicians, vendors, and stakeholders. Emphasizing clinical value, workflow integration, patient safety, and responsible tech use. Combining clinical judgment, applied AI science, and health system expertise to ground strategies in real-world care and rigorously assess tools through evidence-based methods and implementation analytics.* Academic Educator & Mentor: Designing and delivering applied training across Canadian institutions (University of Toronto, Toronto Metropolitan University, and George Brown College), while mentoring IMGs and IEHPs to build practical capability in digital health, clinical AI, and responsible healthcare innovation.* Researcher: Focused on clinical practice and a vision for Personalized Medicine, leading research initiatives that explore the potential and challenges of implementing Personalized Medicine in real-world care. Building a \"Personalized Medicine Ecosystem\" that turns clinical knowledge and patient data into actionable insights for proactive, individualized prevention and care, while ensuring rigour and evidence-based implementation.
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