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NEWS Dec-19: "Good Explanation for Algorithmic Transparency" gets accepted for oral presentation at AAAI-AIES 2020. Nov-19: "How Do Product Attributes and Reviews Moderate the Impact of Recommender Systems Through Purchase Stages" accepted at Management Science Oct-19: Theories and Applications of Interpretable ML Session Scheduled https://tiny.cc/informsxai (Speakers: Cynthia Rudin, Scott Lundberg, Marco Tulio Ribeiro, Emaad Manzoor) Aug-19: Zhaoqi Cheng's Paper accepted @ INFORMS Workshop on Data Science AND Workshop on Data Mining and Decision Analytics Aug-19: Emaad Manzoor's Papers accepted @ INFORMS CIST AND Workshop on Data Science AND Workshop on Data Mining and Decision Analytics |
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Short BiO
I study the {application, development, impact} of AI in e-commerce and digital economy. Please see the research page for more details.
I hold a Bachelor’s degree in Computer Science from Columbia University (Machine Learning, Artificial Intelligence Focus), a Master’s degree in Statistics (Master's Thesis: Johnson-Lindenstrauss Lemma and its Effect on Supervised Learning) from Yale University and PhD from the Operation, Information and Decisions department of the Wharton School (Thesis: Three Essays in Big Data Consumer Analytics in E-Commerce). I previously worked at many different tech start-ups (mobile, b2b analytics, recommendation web 2.0) and Blackrock as a quantitative software engineer and at Thomson Reuters as a machine learning contractor building a natural language processing engine for financial data. Please contact me at dokyun@cmu.edu for Academic-Industry research collaboration, consulting, and speaking inquiries.
I am an avid fan of Sci fi series and have watched over 75+ series from the beginning to the end or their cancellation. I grew up in NY, Queens. My friends and colleagues call me DK.
I hold a Bachelor’s degree in Computer Science from Columbia University (Machine Learning, Artificial Intelligence Focus), a Master’s degree in Statistics (Master's Thesis: Johnson-Lindenstrauss Lemma and its Effect on Supervised Learning) from Yale University and PhD from the Operation, Information and Decisions department of the Wharton School (Thesis: Three Essays in Big Data Consumer Analytics in E-Commerce). I previously worked at many different tech start-ups (mobile, b2b analytics, recommendation web 2.0) and Blackrock as a quantitative software engineer and at Thomson Reuters as a machine learning contractor building a natural language processing engine for financial data. Please contact me at dokyun@cmu.edu for Academic-Industry research collaboration, consulting, and speaking inquiries.
I am an avid fan of Sci fi series and have watched over 75+ series from the beginning to the end or their cancellation. I grew up in NY, Queens. My friends and colleagues call me DK.