Muhammad Aurangzeb Ahmad, Ph.D.

Assistant Professor of Surgery

Email

u267253@bcm.edu

Positions

Assistant Professor of Surgery: Division of Cardiothoracic Surgery
Artificial Intelligence and Data Science.
Baylor College of Medicine

Addresses

1504 TAUB LOOP (Office): Houston, TX, 77030
United States

Education

PhD from University of Minnesota: Minneapolis

BSc from Rochester Institute of Technology: Rochester, NY

Fellowship at Harborview Medical Center: Seattle

Professional Interests

Artificial Intelligence
Computer Science
Data Science

Professional Statement

Muhammad Aurangzeb Ahmad, Ph.D., is an assistant professor in Michael E. DeBakey Department of Surgery at Baylor College of Medicine. Before coming to Baylor, Dr. Ahmad spent ten years at the intersection of Artificial intelligence and healthcare in the industry. He was Principal Data Scientist at Kaiser Permanente and Director of AI at various healthcare startups. His previous academic appointments have included a Research Fellowship at Harborview Medical Center, an Adjunct Professorship at the University of Washington Bothell, and affiliate faculty roles with the University of Washington's Responsible AI Systems and Experiences program and its Science + Technology Initiative. Dr. Ahmad is an accomplished machine learning and artificial intelligence researcher with more than 80 peer-review publications, including a book on predictive modeling. His research has been widely covered by the media including New York Times, Wired, the BBC, and PBS. His research is focused on advancing the scientific understanding of how AI behaves in clinical environments, improving the practice of medicine through rigorous predictive modeling and surgical decision support, and the governance and ethics of AI in healthcare.

Websites

ATLAS AI

Google Scholar

Selected Publications

Preuett III, L., Zhang, Q., & Ahmad, M. A.. " Provable Distributional Value Iteration under Partial Observability " Reinforcement Learning Journal,. 2026 ; 7
Ahmad, M. A., Eckert, C., Teredesai, A., & McKelvey, G. " Interpretable machine learning in healthcare " BCB. ; 559-560.
Lammers, D.T., Eckert, C.M., Ahmad, M.A., Bingham, J.R., Eckert, M.J.. " A Surgeon's Guide to Machine Learning " Annals of Surgery Open. ;
Eckert, C., Nieves-Robbins, N., Spieker, E., et al., Ahmad, M., Teredesai, A.. " Development and Prospective Validation of a Machine Learning-Based Risk of Readmission Model in a Large Military Hospital " Applied Clinical Informatics. ;
Ahmad, M.A., Chickarmane, V., Pour, F.S.A., Shariari, N. and Roy, T.D.. " Validation of a Hospital Digital Twin with Machine Learning " IEEE 11th international conference on healthcare informatics (ICHI). ;

Memberships

American Association of Artificial Intelligence (AAAI)

Institute of Electrical and Electronics Engineers (IEEE)

Society of Industrial and Applied Mathematics (SIAM)

Intellectual Property

Systems and methods for programming implantable medical devices: Product Patent #US8346369B2 (Approved); Co Inventors: Deepa Mahajan, Yanting Dong