Webinars
LOLA: LLM-Assisted Online Learning Algorithm for Content Experiments
speaker
Hema Yoganarasimhan is a faculty member at the Foster School of Business at the University of Washington. She is recognized as one of the leading experts in quantitative marketing. Hema’s research brings together large-scale marketing data, economic theory, econometrics, generative AI, and machine learning tools to help firms optimize and automate their marketing decisions. She currently serves as a senior editor at Marketing Science. Her recent work covers a wide variety of topics, including mobile advertising, content optimization, adaptive pricing and promotions, combining bandits and LLMs to improve experimentation, measurement of media polarization using image data, and personalized policy design for search rankings, promotions, and social media. Together, her recent body of work presents creative yet technically viable solutions to the challenges that businesses face in today’s world.