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NEWS Apr-2021: KDD 2021 Workshop "Machine Learning for Consumers and Markets" is open for submission Feb-2021: Emaad wins Psychology of Technology Award – AAAI 2021 Workshop on AI for behavioral change Jan-2021: CDO Magazine 2021 List of Leading Academic Data Leaders Dec-2020: Selected as 2021 MSI Young Scholar Dec-2020: Zhaoqi Cheng awarded WISE Best Student Paper Award - joint work with Sonny Tambe Dec-2020: Emaad Manzoor to join University of Wisconsin-Madison Nov-2020: INFORMS ISR Best Paper Award Nov-2020: INFORMS ISS Gordon B Davis Young Scholar Award Nov-2020: Zhaoqi Cheng awarded Best Student Paper Runner up at Workshop on Data Science - joint work with Sonny Tambe Nov-2020: Best IS Paper in Management Science Finalist Aug-2020: Xsedes GPU Cloud Grant Jun-2020: EnAIble (AI Retail and Service design) Initiative's first roundtable to discuss COVID19 pain points for retailers. Jun-2020: Google Cloud Platform Grant Jun-2020: Wharton Mack Center Grant 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 |
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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 Leedokyun@gmail.com 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 Leedokyun@gmail.com 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.