Invited or Organized Tutorials, Panels, Keynote Sessions
  • [Keynote] Conference on Artificial Intelligence, Machine Learning, and Digital Analytics, Temple University, 2019
  • [Keynote]  “State of the AI/ML for Empirical Business Research”, Wharton Innovation Doctoral Symposium, 2019
  • [Keynote] AI/ML for Business (Interpretable ML) Talk, CMU MBA Data Analytics Club, 2019
  • [Session] Theories and Applications of Interpretable Machine Learning, INFORMS 2019
  • [Keynote] “Teaching Advanced NLP to MSBA” IT Teaching Workshop at The Wharton School 2019
  • [Keynote] “Interpretable ML for Business Researcher”, INFORMS Marketing, Summer Workshop on ML 2019
  • [Keynote] “Dangers and Pitfalls of Misusing AI/ML in Business”, Boston Consulting Group, 2019
  • [Tutorial] “Deep Learning Tutorial”, Statistical Challenges in E-Commerce (invited) 2019
  • [Panel] AI/ML Panel Organizer and Moderator, INFORMS CIST 2018
  • [Keynote] AI/ML for Business (Interpretable ML) Talk, CMU MBA Data Analytics Club, 2018
  • [Keynote] AI/ML for Business, PwC, 2018
  • [Tutorial] Deep Learning Tutorial Workshop at the Wharton School 2017
  • [Tutorial] Text Mining in Business, McKinsey Exec Ed 2017
  • [Panel] AI/ML Panel Moderator, CMU Summit 2017
  • [Keynote] AI/ML in business, Invited Talk, CMU undergraduate Business Technology Club, 2016

University Seminar Talks
Dokyun Lee, Emaad Manzoor, Zhaoqi Cheng “Focused Concept Miner: Interpretable Deep Learning for Text Exploration”
  • University of Washington 2020
  • University of Michigan 2020
  • Emory 2020
  • University of Maryland 2019 Sept
  • HEC Paris 2019 July
  • University of Minnesota 2019 May
  • University of Pittsburgh (Advanced Research through Computing Symposium) 2019 March
  • University of Southern California 2019 Jan
  • Seoul National University 2018 Dec
  • KAIST 2018 Dec
  • McGill University 2018 Nov
 Dokyun Lee, Kartik Hosanagar, Harikesh Nair. “Advertising Content and Consumer Engagement on Social Media: Evidence from Facebook”
  • Cornell University 2015
  • New York University 2015
  • Carnegie Mellon University 2015
  • Emory University 2015
  • University of Washington 2015
  • University of Texas at Dallas 2015
  • University of Rochester 2015
  • University of Maryland 2015
  • University of Minnesota 2015

Causal inference without data mining is myopic and data mining without theory-driven causal inference is blind