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

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