Christopher Bennett

Christopher Bennett is an Assistant Professor of Emergency Medicine at Stanford University School of Medicine. He is also affiliated with the Stanford Institute for Human-Centered AI (HAI), the Center for AI in Medicine & Imaging (AIMI), and the Center for Digital Health (CDH). Bennett is a board-certified emergency physician and NIH-funded investigator with expertise in data-informed precision medicine, focusing on transmissible infectious diseases and healthcare delivery transformation.

Educational Background:

• Graduate Degree in Genetics and Genomics, Duke University (2011)
• Medical Education at University of North Carolina School of Medicine (2016)
• Residency at Harvard Medical School (2020)
• Graduate Degree in Epidemiology, Stanford University (2022)

Research Focus: Bennett leads studies on HIV screening in emergency departments (EDs), preventive health services, and digital health strategies to improve outcomes. His work addresses healthcare disparities, ED resource utilization, and the development of quality measures to enhance ED-based public health initiatives. Articles highlight trends in HIV testing, geographic targeting of interventions, and workforce dynamics in academic emergency medicine.

Scientific Awards:

• Fellow, American College of Emergency Physicians (2023–Present)
• Fellow, American Academy of Emergency Medicine (2022–Present)

Professional Service: Bennett serves as an ad hoc reviewer for NIH study sections and has held leadership roles in the Society for Academic Emergency Medicine. His lab at Stanford investigates ED-based wastewater surveillance for transmissible infectious diseases, aiming to create localized public health insights through innovative sampling technology.