MsYanting He
Casual
Business School - Business School
- CasualBusiness School - Business School
- Huxley Building, South Kensington Campus, United Kingdom
BIO
Yanting joined Imperial College Business School in 2021 as a quantitative marketing PhD candidate in the Department of Analytics, Marketing and Operations, supervised by Stephan Seiler.
Her research focuses on the evolving dynamics of digital platforms and the creator economy. She combines machine learning and causal inference with large-scale data from major user-generated content platforms to uncover patterns in the digital world, with a focus to advance equity and transparency in digital ecosystems and help emerging creators to grow.
Before starting her PhD, Yanting spent three years as a quantitative analyst at JD.com, where she led AI and machine learning projects that used digital footprints to predict purchase intent for targeted advertising. This experience sharpened her data-driven decision-making skills and, more importantly, sparked a deeper curiosity about the “why” behind consumer behavior and firm decisions. Combined with first-hand exposure to real-world digital marketing challenges, it ultimately motivated her to pursue a PhD in marketing.
Yanting joined the School of Management and Economics at The Chinese University of Hong Kong, Shenzhen as an Assistant Professor of Marketing in July 2026.
DEGREES
- Ph.D. in Quantitative MarketingImperial College London, London, United Kingdom1 Sep 2022 - 1 Sep 2026
- M.Res. in Quantitative MarketingImperial College London, London, United Kingdom1 Sep 2021 - 1 Aug 2022
- M.Sc. in Advanced Computer ScienceThe University of Manchester, United Kingdom1 Sep 2017 - 1 Sep 2018
- B.Eng. in Internet of Things EngineeringCentral South University, United Kingdom1 Sep 2013 - 30 Jun 2017
FACULTY
- Business School
POSITION NAME
- Casual