Kambez H. Benam, D.Phil., ATSF is Associate Professor of Medicine and Bioengineering (tenured) at the University of Pittsburgh and Director of Innovation and Entrepreneurship in the Division of Pulmonary, Allergy, Critical Care and Sleep Medicine. He trained in immunology at the University of Oxford (D.Phil.) and pharmacology at Newcastle University, followed by postdoctoral and technology development fellowship appointments at the Wyss Institute for Biologically Inspired Engineering at Harvard University, where he worked with Professor Donald Ingber to pioneer human Lung-on-a-Chip technologies.
Dr. Benam’s research bridges pulmonary biology, immunology, and bioengineering to develop human-relevant microphysiological systems that recapitulate lung, vascular, and bone marrow function. His laboratory has advanced airway-, vascular-, and hematopoietic-on-chip platforms capable of modeling host–pathogen interactions, inhalation toxicology, COPD pathobiology, and immune dysregulation, including in Down syndrome. His innovations integrate living micro physiological systems with bioinspired robotics and real-time analytical platforms, enabling mechanistic discovery while accelerating therapeutic and regulatory translation.
His work has been published in Nature Methods, Nature Biomedical Engineering, Cell Systems, Advanced Functional Materials, and other leading journals, and has been highlighted internationally for reshaping preclinical pulmonary modeling. He is Principal Investigator on multiple NIH- and FDA-funded awards and Founder of Pneumax, a biotechnology startup commercializing Organ-on-a-Chip and inhalation analytics technologies. An elected Fellow of the American Thoracic Society, Dr. Benam has served on ATS RCMB Assembly
Program and Planning Committees, organized symposia and postgraduate courses, and contributed to national efforts to modernize preclinical respiratory research. His current focus is the integration of multi-organ micro physiological systems with AI-enabled analytics to create predictive, human-centered platforms that shorten the path from mechanistic insight to clinical impact.