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 focuses on developing interpretable machine learning methods for marketing. I study how to uncover product characteristics from image and audio data, with applications to conjoint analysis, demand estimation, and branding. I also examine consumer privacy, illicit economic behavior, and personalization effectiveness.

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)
    • Video: Business & Generative AI Workshop, hosted by Wharton at San Francisco

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)