Ankit Sisodia

Ankit Sisodia

Assistant Professor of Marketing at Daniels School of Business, Purdue University

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About Me

I am an Assistant Professor of Marketing at the Daniels School of Business, Purdue University. My research spans two streams. The first develops interpretable machine learning methods for marketing and economics, including a disentanglement-based approach for discovering visual product characteristics from image data, with extensions to structural demand estimation and market structure mapping, as well as related work on interpretable audio features of branded sonic logos. The second studies consumer privacy, illicit economic behavior using forensic economics methods, and personalization effectiveness through field experiments.

My work has been recognized with the ISMS Doctoral Dissertation Proposal Award and as a finalist for the ASA Statistics in Marketing Doctoral Research Award. I received my Ph.D. in Quantitative Marketing from Yale University, an MBA from the Indian Institute of Management Ahmedabad, and a B.Tech. in Electrical Engineering from IIT BHU. Prior to my doctoral studies, I worked at Myntra (online fashion retailer), 21st Century Fox (broadcast media) and Tata Consultancy Services (IT).

At Purdue, I teach New Product Development.

Publications

  1. Generative Interpretable Visual Design: Using Disentanglement for Visual Conjoint Analysis (with Alex Burnap and Vineet Kumar), Journal of Marketing Research (2025) [PDF]
    • Finalist, 2023 ASA Statistics in Marketing Doctoral Research Award
    • Podcast Appearance: How I Wrote This, hosted by Brett Gordon and Karen Winterich (Co-Editors of Journal of Marketing Research)

Working Papers

  1. Market Structure Mapping with Visual Characteristics (with Vineet Kumar), MSI Working Paper Series (2025)

  2. Customer Prototypicality and Segment-Level Personalization Effectiveness: Evidence from a Field Experiment (with Raghuram Iyengar and Young-Hoon Park), SSRN (2026)

  3. Consumer Adaptation to a Currency Reform: Illicit Cash Use and Digital Payments (with K. Sudhir and Nitish Jain), SSRN (2026)

Works in Progress

  1. Economic Value of Visual Product Characteristics (with Vineet Kumar)
    • Winner, 2023 ISMS Doctoral Dissertation Proposal Competition
  2. Designing Personality Through Audio (with Hortense Fong and Jingyi Zhang)
  3. Consumer Value of Privacy: Evidence from an Online Retailer (with Mimansa Bairathi and Mayur Choudhary)