Kristin Kostick-Quenet, Ph.D. is a bioethicist and medical anthropologist whose research focuses on ethical, social and cultural factors related to emerging bio- and neurotechnologies and the use of artificial intelligence (AI) and machine learning (ML) applications in healthcare. Her current research focuses on ethical translation of computer perception technologies, including digital phenotyping and computational affective/behavioral analysis into clinical care. Other recent publications address ethical issues related to integrating AI/ML into clinical decision making, closed-loop technologies in deep brain stimulation, and computational ethics (e.g. blockchain) approaches to consent, data governance and privacy. She has also published on topics ranging from ethical design of AI/ML user systems and interfaces, communicating AI/ML-based personalized diagnostics and risk, return of results in psychiatric genetics research, ethical issues in disorders of consciousness, and ethical/practical considerations for implementing decision aids (particularly for Left Ventricular Assist Device therapy for heart failure) and other clinical interventions into real-world clinical contexts, including global health settings. 

Kostick-Quenet received her undergraduate degree from the University of California, San Diego. She earned both her Ph.D. in medical and cognitive anthropology from the University of Connecticut and a MFA in creative writing from the University of Houston.