Tanya Singh

Professor leading studies in ethical decision-making and consumer behavior, Tanya Singh is an esteemed Assistant Professor at the Lally School of Management at Rensselaer Polytechnic Institute. Her research delves into the intricate dynamics of autonomous vehicles, online consumer decision-making, and the ethical implications of computer programming. With a keen interest in algorithmic bias, Singh explores how these biases influence moral decision-making and consumer behavior, particularly in scenarios involving multiple purchase decisions. Singh's academic journey is marked by her dual Ph.D. achievements. She earned a Ph.D. in Business Administration from Concordia University, where her work primarily focused on the intersection of technology and consumer ethics. Additionally, she holds a Ph.D. in Evolutionary Biology from the University of Pennsylvania, which enriches her interdisciplinary approach to understanding human behavior and decision-making processes. Her research has significantly contributed to understanding why consumers often delay purchase decisions and the potential consequences of such delays. By examining the psychological and algorithmic factors at play, Singh aims to develop strategies that can help businesses and consumers make more informed and ethical decisions. At Rensselaer Polytechnic Institute, Singh is actively involved in mentoring students and collaborating with colleagues to advance research in ethical decision-making. Her work not only addresses the theoretical aspects of consumer behavior but also provides practical insights that can be applied in real-world scenarios, particularly in the rapidly evolving field of autonomous vehicles. Singh's dedication to her field is evident in her numerous publications and presentations at international conferences. Her work continues to inspire both her peers and students, fostering a deeper understanding of the ethical dimensions of technology and consumer interactions. Through her research, Singh is committed to paving the way for more ethical and informed decision-making in the digital age.