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DOKYUN "DK" LEE
KELLI QUESTROM CHAIR ASSOCIATE PROFESSOR OF INFORMATION SYSTEMS MANAGEMENT & COMPUTING AND DATA SCIENCE @ BOSTON UNIVERSITY DIGITAL BUSINESS FELLOW COMPUTING & DATA SCIENCES FELLOW BUSINESS INSIGHTS THROUGH TEXT LAB (BITLAB) DOKYUN@BU.EDU |
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NEWS Sep - 2022: Awarded Google Cloud Grant $43,010 [Deep Learning CBCV - Kyeongbin Kim, Dan McCarthy, DK Lee] May - 2022: Selected as BU Computing and Data Sciences Faculty Fellow. Secondary appointment at Computing & Data Sciences @ BU Mar - 2022: Digital Business Institute is hiring a Postdoc for Generative AI in Business!! Please Apply ASAP. Details Here Sept- 2021: Questrom School IS is hiring! Apply ASAP! July-2021: Best IS Paper in Management Science Finalist Jun- 2021: I have moved to Boston University as a Kelli Questrom Chair Associate Professor of Management (Information Systems Management) With Tenure! Jun-2021: KDD 2021 Workshop Schedule is Up! Jun- 2021: MSI Grant Awarded (with Daehwan Ahn, Kartik Hosanagar) May-2021: Awarded MSBA Faculty Excellence Award for Teaching, voted by the graduating MSBA class of 2021. 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 |
I am a big fan of Robots in Rowboats, art by Lauren Briere. Check it out here!
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BiO
I study the {responsible application, development, impact} of AI in digital consumer and e-commerce analytics with focus on text. Specific interests are:
My work has been published at journals and conferences including Management Science, Information Systems Research, Journal of Marketing Research, AAAI, AIES, and WWW. I am a recipient of ISS Gordon B Davis Young Scholar, 2021 Marketing Science Institute Young Scholar, CDO Magazine Academic Data Leader, ISR Best Paper Award, MSBA Teaching Award, Management Science Distinguished Service Award, and Best Conference Paper Awards. My work is supported by organizations such as Adobe, Bosch Institute, Google Cloud, Marketing Science Institute, McKinsey & Co, Nvidia, and Net Institute.
I hold a Bachelor’s degree [2009] in Computer Science from Columbia University (Machine Learning 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). Before academia, I worked at 4 tech start-ups and Blackrock as a quantitative software engineer and at Thomson Reuters as an ML 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.
- developing and applying interpretable machine learning & natural language processing algorithms along with causal inference to quantify economic impact of severely untapped text data
- content understanding and engineering
My work has been published at journals and conferences including Management Science, Information Systems Research, Journal of Marketing Research, AAAI, AIES, and WWW. I am a recipient of ISS Gordon B Davis Young Scholar, 2021 Marketing Science Institute Young Scholar, CDO Magazine Academic Data Leader, ISR Best Paper Award, MSBA Teaching Award, Management Science Distinguished Service Award, and Best Conference Paper Awards. My work is supported by organizations such as Adobe, Bosch Institute, Google Cloud, Marketing Science Institute, McKinsey & Co, Nvidia, and Net Institute.
I hold a Bachelor’s degree [2009] in Computer Science from Columbia University (Machine Learning 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). Before academia, I worked at 4 tech start-ups and Blackrock as a quantitative software engineer and at Thomson Reuters as an ML 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.