Alex Burnap

Alex Burnap is an Assistant Professor of Marketing at Yale School of Management. His research focuses on how companies can improve product management and product design using tools from machine learning and big data. He specializes in developing generative AI for personalized product targeting. His research interests include quantifying consumer needs, understanding market structure, and improving product decisions by accounting for engineering and design feasibility. Prior to joining Yale, he worked in product research at General Motors and in consulting for startups and enterprise firms. He completed his postdoc at MIT Sloan, Ph.D. in Design Science, M.S. in Mechanical Engineering at Michigan, and B.S. in Engineering Physics at UIUC.

Alex Burnap is a researcher at Yale University with expertise in Product Management, Marketing, Machine Learning, Optimization, and AI Ethics. His work explores the intersection of design and technology, focusing on how machine learning can enhance product aesthetics, design evaluation, and consumer preference prediction. Burnap's research includes the use of deep generative models for product form design, the quantification of perceptual design attributes, and the identification of expert crowds for design evaluation. His studies also address the ethical implications of AI in design and marketing, emphasizing the balance between design freedom and brand recognition.