Purushottam Papatla

Dr. Purushottam Papatla is a distinguished academic and researcher, currently serving as the Northwestern Mutual Data Science Institute Professor of Marketing and Co-Director at the Northwestern Mutual Data Science Institute. His academic journey began with a solid foundation in Mechanical Engineering and Industrial & Systems Engineering, culminating in a PhD from the prestigious Kellogg School at Northwestern University. This diverse educational background has equipped him with a unique perspective on the intersection of engineering principles and marketing strategies. Dr. Papatla's research interests lie at the heart of understanding consumer behavior and the impact of advertising. He is particularly fascinated by how individuals process and respond to different types of content, whether it be textual, pictorial, video, or audio. As the leader of the Content Lab, he collaborates with doctoral students and faculty from various universities to delve into data from the advertising, technology, and social media sectors. His work is instrumental in uncovering insights into how advertising content influences consumer responses across various contexts, including political and not-for-profit sectors. In addition to his research endeavors, Dr. Papatla is a dedicated educator. He imparts his knowledge and expertise to students through courses such as Marketing Strategy in the Executive MBA program and Data Science. He also conducts doctoral seminars on Bayesian Methods and Models in Marketing, fostering a new generation of scholars who are well-versed in advanced analytical techniques. Dr. Papatla's contributions extend beyond academia. He is actively engaged in professional activities, serving on various boards and holding editorial positions for esteemed journals in the fields of marketing and data science. His involvement in these roles underscores his commitment to advancing the discipline and shaping its future direction. Through his multifaceted career, Dr. Papatla has made significant strides in bridging the gap between data science and marketing, offering valuable insights into consumer behavior and the efficacy of advertising strategies. His work continues to influence both academic circles and industry practices, making him a respected figure in the field.