University Seminar Talks
Zhaoqi Cheng,  Dokyun Lee, Prasanna Tambe. “InnoVAE: Generative AI for Understanding Patents and Innovation”
  • UC Irvine 2022 (to be scheduled)
  • UC Riverside 2022 (to be scheduled)
  • Tel Aviv University 2023 May 16th
  • Nova SBE Lisbon 2023 May 12th
  • Nanyang Technological University 2023 Feb
  • American University 2023 Jan 27th
  • Chapman University 2022 November 18th
  • Temple University 2022 October 21st
  • UC Davis 2022 October 13th
  • University of Illinois Chicago 2022 Sep 30th
  • NUS, Singapore 2022 May 12th
  • The Chinese University of Hong Kong 2022 May 5th
  • Ohio State University 2022 April 29th
  • Emory 2022 April 8th
  • University of Rochester 2022 March 18th
  • University of Florida 2022 Feb 25th
  • Harvard University (LISH LAB) 2022 Feb 1st
  • University of Tennessee 2022 Jan 21st
  • KAIST 2021 Nov 5th
  • Northwestern University 2021 Sept 17th
  • University of Wisconsin Madison 2021 Sep 3rd
  • University of Washington 2021 May 7th
  • University of Hamburg 2021 April 16th
  • UT Austin (Marketing) 2021 April 23rd
  • Harvard University (TOM) 2021 April 7th

Dokyun Lee, Emaad Manzoor, Zhaoqi Cheng “Focused Concept Miner: Interpretable Deep Learning for Text Exploration”
  • Michigan State University 2021
  • UBC 2021
  • USC (Marketing) 2021
  • UT Austin (IROM) 2021
  • UCSD (Marketing) 2021
  • Boston University 2021
  • University of Connecticut 2021
  • Boston College 2020
  • Rutgers University 2020
  • New York University 2020
  • The Wharton School 2020
  • University of Michigan 2020
  • Harvard University (Marketing) 2020
  • Georgia Institute of Technology 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
  • USC (DSO) 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

Invited or Organized Tutorials, Panels, Keynote Sessions
  • ​[Keynote] First Conference on Deployable AI Explainable AI Edition, IIT Madras, 2021 (Virtual)
  • [Tutorial] AI/ML for Business (Interpretable ML) Day-long Tutorial, HEC Paris, 2021 (To be Rescheduled)
  • ​[Keynote] "Patents, Generative Algorithms, and Innovation Frontier" Conference on Artificial Intelligence, Machine Learning, and Digital Analytics, Virtual, 2020
  • [Panel] AI for Retail Post COVID-19, Virtual Panel, Tepper Alumni Event, 2020
  • [Panel] AI for Retail Post COVID-19, Virtual Roundtable, CMU AI Retail & Service Design Initiative (CAIRS), 2020
  • ​[Keynote] "Interpretable Machine Learning: The Problem, Progress, and Potential for Marketing Research" 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 Causal Inference is Blind"