Chief AI Officer, Head of AI Science and Clinical Intelligence 

Dr. Muhammad Ahmad is an accomplished AI researcher and applied AI leader with over 15 years of experience building, validating, and deploying artificial intelligence and machine-learning systems at scale. His work sits at the intersection of advanced AI, behavioral modeling, and real-world healthcare deployment, with a focus on creating responsible, trustworthy, and human-centered AI systems.

He is Affiliate Faculty in the Department of Computer Science at the University of Washington Bothell and an Affiliate with the University of Washington’s Responsible AI Systems and Experiences initiative. His prior appointments include the University of Washington and Harborview Medical Center, the University of Minnesota’s Center for Cognitive Science and Minnesota Population Center, and the Indian Institute of Technology, Kanpur.

Dr. Ahmad has authored more than 50 peer-reviewed publications in artificial intelligence and machine learning, with research spanning behavioral and personality modeling at scale, algorithmic nudging, and the design of AI systems that operate safely and effectively in regulated environments. He has also served as a panelist at the United Nations, contributing to global discussions on AI governance, ethics, and societal impact.

He holds a PhD in Computer Science from the University of Minnesota, where his doctoral research focused on large-scale behavioral modeling. In addition to his academic and professional work, Dr. Ahmad is the creator of GrandpaBot, a decade-long AI project that reconstructs his father’s personality through machine learning. The project has received national and international media coverage and is widely cited as a meaningful example of how AI can preserve human memory, identity, and connection.

At iTonic, Dr. Ahmad leads the development of core AI intelligence, including clinical and behavioral modeling, responsible AI architecture, and the systems that power the company’s Home Health AI platform.