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Magie Cheng

Magie Cheng

Doctoral Student

Doctoral Student

Mengjie (Magie) Cheng is a Ph.D. student in Marketing at Harvard Business School. She received her B.S. in Finance from Chu Kochen Honors College at Zhejiang University and M.S. in Management Science and Engineering from Stanford University. Prior to joining the Ph.D. program, she worked as a machine learning engineer at Facebook Ads Ranking and Knowledge Graph teams. She combines economics principles and behavioral insights with causal inference, machine learning, and unstructured data to advise marketing decisions. Her research focuses on creator economy, algorithmic bias, and innovation management.

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Mengjie (Magie) Cheng is a Ph.D. student in Marketing at Harvard Business School. She received her B.S. in Finance from Chu Kochen Honors College at Zhejiang University and M.S. in Management Science and Engineering from Stanford University. Prior to joining the Ph.D. program, she worked as a machine learning engineer at Facebook Ads Ranking and Knowledge Graph teams. She combines economics principles and behavioral insights with causal inference, machine learning, and unstructured data to advise marketing decisions. Her research focuses on creator economy, algorithmic bias, and innovation management.
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Magie Cheng
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Publications

Journal Articles
Journal Articles

  • Cheng, Mengjie, Daniel Scott Smith, Xiang Ren, Hancheng Cao, Sanne Smith, and Daniel A. McFarland. "How New Ideas Diffuse in Science." American Sociological Review (forthcoming). View Details

Working Papers
Working Papers

  • Cheng, Magie, and Shunyuan Zhang. "Reputation Burning: Analyzing the Impact of Brand Sponsorship on Social Influencers." Harvard Business School Working Paper, No. 22-067, April 2022. View Details

Cases and Teaching Materials
Cases and Teaching Materials

  • Amano, Tomomichi, Elie Ofek, Mengjie Cheng, and Amy Klopfenstein. "Thinking Outside the Wine Box (C): Mekanism and the Franz for Life Campaign." Harvard Business School Supplement 522-068, May 2022. View Details
  • Amano, Tomomichi, Elie Ofek, Mengjie Cheng, and Amy Klopfenstein. "Thinking Outside the Wine Box (B): Mekanism and the Franz for Life Campaign." Harvard Business School Supplement 522-059, May 2022. View Details
  • Amano, Tomomichi, Elie Ofek, Mengjie Cheng, and Amy Klopfenstein. "Thinking Outside the Wine Box (A): Mekanism and the Franz for Life Campaign." Harvard Business School Case 522-055, May 2022. View Details
All Publications
Mengjie (Magie) Cheng is a Ph.D. student in Marketing at Harvard Business School. She received her B.S. in Finance from Chu Kochen Honors College at Zhejiang University and M.S. in Management Science and Engineering from Stanford University. Prior to joining the Ph.D. program, she worked as a machine learning engineer at Facebook Ads Ranking and Knowledge Graph teams. She combines economics principles and behavioral insights with causal inference, machine learning, and unstructured data to advise marketing decisions. Her research focuses on creator economy, algorithmic bias, and innovation management.
Journal Articles
  • Cheng, Mengjie, Daniel Scott Smith, Xiang Ren, Hancheng Cao, Sanne Smith, and Daniel A. McFarland. "How New Ideas Diffuse in Science." American Sociological Review (forthcoming). View Details
Working Papers
  • Cheng, Magie, and Shunyuan Zhang. "Reputation Burning: Analyzing the Impact of Brand Sponsorship on Social Influencers." Harvard Business School Working Paper, No. 22-067, April 2022. View Details
Cases and Teaching Materials
  • Amano, Tomomichi, Elie Ofek, Mengjie Cheng, and Amy Klopfenstein. "Thinking Outside the Wine Box (C): Mekanism and the Franz for Life Campaign." Harvard Business School Supplement 522-068, May 2022. View Details
  • Amano, Tomomichi, Elie Ofek, Mengjie Cheng, and Amy Klopfenstein. "Thinking Outside the Wine Box (B): Mekanism and the Franz for Life Campaign." Harvard Business School Supplement 522-059, May 2022. View Details
  • Amano, Tomomichi, Elie Ofek, Mengjie Cheng, and Amy Klopfenstein. "Thinking Outside the Wine Box (A): Mekanism and the Franz for Life Campaign." Harvard Business School Case 522-055, May 2022. View Details
Area of Study
  • Marketing
Areas of Interest
  • analytics
  • digital economy
  • high-tech marketing
  • machine learning

Area of Study

Marketing

Areas of Interest

analytics
digital economy
high-tech marketing
machine learning
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