Dokyun Lee

Assistant Professor of Business Analytics

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Areas of Study

Business Technologies

Bio

Personal Website: http://www.leedokyun.com/ CMU Group Website: http://bt.tepper.cmu.edu/

Education

• The Wharton School, University of Pennsylvania - Ph D (Operation and Information Management) - 2015
• Yale University - MS (Statistics) - 2010
• Columbia University - BS (Computer Science) - 2009

Research

Application and Impact of Machine Learning in Business,
Economic Impact of Unstructured Data,
Interpretable ML for Business,
Unintended Consequence of Machine Learning

Publications

• Advertising Content and Consumer Engagement on Social Media: Evidence from Facebook

  (author(s): Dokyun Lee, Kartik Hosanagar, Harikesh Nair)
  Management Science (Forthcoming)

• How Do Recommender Systems Affect Sales Diversity? A Cross-Category Investigation via Randomized Field Experiment

  (author(s): Dokyun Lee, Kartik Hosanagar)
  Accepted and Forthcoming at Information Systems Research

• When do Recommender Systems Work the Best? The Moderating Effects of Product Attributes and Consumer Reviews on Recommender Performance

  (author(s): Dokyun Lee, Kartik Hosanagar)
  International World Wide Web Conference

• Will the Global Village Fracture into Tribes: Recommender Systems and their Effects on Consumers

  (author(s): Kartik Hosanagar, Daniel Fleder, Dokyun Lee, Andreas Buja)
  Management Science 60(4), 2013; 805-823

Working Papers

• Focused Concept Miner (FCM): an Interpretable Deep Learning for Text Exploration

  (author(s): Dokyun Lee, Emaad Ahmed Manzoor, Zhaoqi Cheng)

• Micro-Giving: On the Use of Mobile Devices and Monetary Subsidies in Charitable Giving

  (author(s): Dongwon Lee, Anandasivam Gopal, Dokyun Lee)
  Under Review at Management Science, 2017

• When Does Beauty Pay? A Large Scale Image Based Appearance Analysis on Career Transitions

  (author(s): Nikhil Malik, Param Singh, Dokyun Lee, Kannan Srinivasan)
  Conference on Information Systems and Technology, 2017

• Large Scale Cross Category Analysis of Consumer Review Content on Sales Conversion Leveraging Deep Learning

  (author(s): Xiao Liu, Dokyun Lee, Kannan Srinivasan)
  Submitted to Journal of Marketing Research, 2017

• Demand Interactions in Sharing Economies: Evidence from a Natural Experiment Involving Airbnb and Uber/Lyft

  (author(s): Shunyuan Zhang, Dokyun Lee, Param Singh, Tridas Mukhopadhyay)
  Management Science

• When do Recommender Systems Work the Best? Moderating Effects of Product Attributes on Recommender System Performances

  (author(s): Dokyun Lee, Kartik Hosanagar)
  Under Review at Management Science

• How Much is an Image Worth? Estimating Airbnb Property Demand Leveraging Large Scale Image Feature Extraction

  (author(s): Shunyuan Zhang, Dokyun Lee, Param Singh, Kannan Srinivasan)
  Management Science

Awards and Honors

• MSI- Marketing Science Institute Research Grant (Principal Investigator, $10,000) (2018)
• INFORMS - Best Paper Runner Up - E-Business (2018)
• Carnegie Bosch Institute Research Award [Explainable AI – Definition of Good Explanation]  (Co-PI) (2018)
• AOM- Academy of Management Best Student Paper Award (Dongwon Lee) (2018)
• AIS - ICIS 2017 Best Conference Paper (2017)
• AIS - ICIS 2017 Best Track Paper in IT and Social Changes Award (2017)
• INFORMS - CIST INFORMS Best Student Paper Award (Phd Student Nikhil Malik) (2017)
• Tepper School - Xerox Junior Faculty Chair, Tepper School (2017)
• Adobe - Adobe Data Science Faculty Grant For Deep Learning (2017)
• NVidia - NVIDIA Academic GPU grants for Deep Learning Projects (2017)
• XSEDES - XSEDES Pittsburgh Super Computing Allocation for Deep Learning Projects (2017)
• INFORMS CIST - INFORMS CIST Best Student Paper Award (Shunyuan Zhang) (2016)
• INFORMS ISS - ISS Nunamaker-Chen Dissertation Award, Runner Up (2016)
• NET Institute - NET Institute Research Grant (2016)
• Marketing Science Institute - Marketing Science Institute Research Grant (2016)
• CMU Tepper School - The Lave Weil Award (2016)
• CMU - The Berkman research Fund (2015)

University Service

• MEAC Committee (2016 - )
• Business Analytics Hiring Committee, Committee Member (2016 - )
• Masters in Business Analytics Program Curriculum Development, Committee Member (2016 - )
• Seminar Speaker Organizer, BT Group Seminar Speaker Organizer (2015 - )
• BT Phd Selection Committee, Committee Member, Go through applications and Interview students. (2016 - 2016)

Courses Taught

• Economining I (47958)

  • 2017 Mini 1 Section: 1
• DATA MINING BUS ANLY (70374)

  • 2017 Section: A
• Data Mining (45851)

  • 2017 Mini 4 Section: A, E
  • 2016 Mini 4 Section: A, E
• Unstructured Data & Big Data: Acquisition to Analysis (47956)

  • 2016 Mini 2 Section: A
• Data Mining Bus Anly (70374)

  • 2016 Section: A