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NEWS Jun-2020: CAIRS (CMU AI Retail and Service design) Initiative's first roundtable to discuss COVID19 pain points for retailers scheduled June 30th 1PM EDT. Click here for details. Jun-2020: Google Cloud Platform Research Grant obtained. Jun-2020: Wharton Mack Center Research Grant obtained. Mar-2020: McKinsey and Co Sponsored Research - AI for Marketing Obtained (1st in CMU) [with my students Emaad Manzoor & Mao Chengfeng] Mar-2020: The Algorithmic Transparency (Joy Lu, Taewan Kim, David Danks) team gets 2nd year Bosch Institute Grant Dec-2019: "Good Explanation for Algorithmic Transparency" gets accepted for oral presentation at AAAI-AIES 2020. Nov-2019: "How Do Product Attributes and Reviews Moderate the Impact of Recommender Systems Through Purchase Stages" accepted at Management Science Oct-2019: Session I organized "Theories and Applications of Interpretable ML Session" Scheduled! https://tiny.cc/informsxai (Speakers: Cynthia Rudin, Scott Lundberg (Creator of SHAP), Marco Tulio Ribeiro (Creator of LIME), Emaad Manzoor) |
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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 [2009] in Computer Science from Columbia University (Machine Learning, Artificial Intelligence Focus), a Master’s degree [2010] in Statistics (Master's Thesis: Johnson-Lindenstrauss Lemma and its Effect on Supervised Learning) from Yale University and PhD [2015] 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 100+ 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 [2009] in Computer Science from Columbia University (Machine Learning, Artificial Intelligence Focus), a Master’s degree [2010] in Statistics (Master's Thesis: Johnson-Lindenstrauss Lemma and its Effect on Supervised Learning) from Yale University and PhD [2015] 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 100+ series from the beginning to the end or their cancellation. I grew up in NY, Queens. My friends and colleagues call me DK.