PhD Student | Marketing
4185 Grainger Hall

Biography

Srinivas is a doctoral candidate at the Wisconsin School of Business, majoring in Quantitative Marketing. His research focuses on developing machine learning techniques to improve causal inference in marketing measurement. He is also interested in optimizing marketing effectiveness, especially in strategic settings with competition. His research has appeared in the Journal of Marketing Research and the proceedings of Association for the Advancement of Artificial Intelligence. Prior to joining the PhD program, Srinivas received his bachelor’s degree in Electrical Engineering from the Indian Institute of Technology Madras, and a master’s degree in Computer Science from the University of Wisconsin-Madison.

Research

Selected Accepted Journal Articles

Maleeha, Q. & Tunuguntla, S. & Lee, P. & Kanchinadam, T. & Fung, G. & Arora, N. (2018). Discovering Temporal Patterns from Insurance Interaction Data Association for the Advancement of Artificial Intelligence

Selected Published Journal Articles

Tunuguntla, S. & Hoban, P. (2020). A Near Optimal Bidding Strategy for Real-Time Display Advertising Auctions Journal of Marketing Research

Presentations

Marketing Dynamics Conference (2019) A Near Optimal Bidding Strategy for Real-Time Display Advertising Auctions

Marketing Science (2018) T-patterns in Business