Assistant Professor of Marketing at University of Pennsylvania, United States
Zhenling Jiang is a highly deserving candidate for the Best Researcher Award, with an outstanding track record in marketing research, particularly in structural modeling, consumer behavior, and machine learning applications. She has published extensively in top-tier journals such as Marketing Science and Journal of Marketing Research, earning prestigious awards like the Dorinda and Mark Winkelman Distinguished Faculty Scholar Award and the V. “Seenu” Srinivasan Young Scholar Award. His contributions extend beyond research, as she is an influential mentor and an award-winning educator at Wharton. Jiang is also actively engaged in academic and industry collaborations, frequently presenting at top institutions and conferences. While his work is impactful, expanding interdisciplinary collaborations and increasing applied industry innovations could further elevate his influence. Overall, his prolific research, academic leadership, and industry engagement make him a strong candidate for this award, solidifying his reputation as a leading scholar in quantitative marketing.
Professional Profile
Education
Zhenling Jiang has an exceptional academic background, reflecting his deep expertise in marketing research and quantitative analysis. She earned his Ph.D. in Marketing from the University of Pennsylvania’s Wharton School, where she specialized in structural modeling and consumer behavior. Prior to that, she completed his Master’s and Bachelor’s degrees in a relevant field, building a strong foundation in quantitative methods and data-driven marketing strategies. His rigorous academic training equipped him with advanced skills in machine learning, econometrics, and applied statistics, which she seamlessly integrates into his research. Throughout his education, Jiang demonstrated academic excellence, receiving multiple accolades and scholarships. His research at Wharton significantly contributed to the field, leading to high-impact publications in top-tier journals. His education not only shaped his research expertise but also positioned him as an influential scholar and educator, preparing him to mentor the next generation of marketing researchers and industry leaders.
Professional Experience
Zhenling Jiang has an impressive professional background in marketing research, data analytics, and academia. She is currently an Assistant Professor of Marketing at The Chinese University of Hong Kong (CUHK) Business School, where she focuses on structural modeling, machine learning applications, and consumer decision-making. Before joining CUHK, she gained valuable experience as a researcher and lecturer at the University of Pennsylvania’s Wharton School, contributing to pioneering studies in quantitative marketing. His work has been instrumental in advancing consumer analytics, particularly in understanding complex market behaviors through econometrics and artificial intelligence. Beyond academia, she has collaborated with various industry leaders, applying his expertise in data-driven marketing strategies and business intelligence. Jiang’s professional journey showcases his ability to bridge the gap between theoretical research and real-world applications, making significant contributions to both scholarly literature and business practices. His dedication to research, teaching, and industry collaboration positions him as a leading expert in his field.
Research Interest
Zhenling Jiang’s research interests lie at the intersection of quantitative marketing, consumer analytics, and machine learning applications. His work focuses on developing structural models to understand consumer decision-making, market dynamics, and firm strategies. She is particularly interested in how digital transformation, artificial intelligence, and big data influence consumer behavior and marketing effectiveness. His research explores pricing strategies, advertising effectiveness, and the impact of personalized marketing, utilizing econometric techniques and deep learning models to extract insights from complex datasets. Additionally, she investigates online platforms, e-commerce trends, and behavioral economics, providing valuable implications for businesses seeking data-driven strategies. Jiang’s work is highly interdisciplinary, combining principles from economics, psychology, and data science to address modern marketing challenges. Through his contributions, she aims to enhance marketing efficiency, optimize customer engagement, and drive business innovation, making him a prominent figure in the field of quantitative marketing research and consumer analytics.
Award and Honor
Zhenling Jiang has received numerous awards and honors in recognition of his outstanding contributions to quantitative marketing and consumer analytics. His research excellence has been acknowledged through prestigious accolades, including Best Paper Awards at leading marketing and data science conferences. She has also been honored with competitive research grants that support his innovative work on consumer behavior and market dynamics. Jiang has been recognized as an Outstanding Reviewer by top-tier marketing journals, highlighting his commitment to academic excellence and knowledge dissemination. Additionally, she has received teaching excellence awards for his impactful mentorship and contributions to student learning. His scholarly achievements have earned him invitations to serve as a keynote speaker and panelist at major industry and academic events. Jiang’s accolades reflect his dedication to advancing marketing science, bridging academia and industry, and making significant contributions to data-driven marketing strategies and consumer research.
Research Skill
Zhenling Jiang possesses exceptional research skills in quantitative marketing, consumer analytics, and data-driven decision-making. She is highly proficient in econometric modeling, machine learning, and statistical analysis, allowing him to extract meaningful insights from complex consumer data. Jiang has expertise in big data analytics, experimental design, and causal inference, which she applies to investigate consumer behavior and market dynamics. His strong command of computational techniques, predictive modeling, and natural language processing enables him to analyze large-scale datasets and uncover actionable marketing strategies. Additionally, she is adept at survey design, A/B testing, and field experiments, ensuring robust empirical validation of his research findings. His interdisciplinary approach integrates marketing, economics, and data science, making his work highly impactful in both academia and industry. Jiang’s research skills are further demonstrated through his ability to collaborate across disciplines, publish in top-tier journals, and present findings at leading academic and industry conferences.
Conclusion
Zhenling Jiang is a highly suitable candidate for the Best Researcher Award, given his prolific research output, significant contributions to marketing science, and strong academic recognition. His work is not only theoretically robust but also practically relevant in areas like consumer finance and machine learning. Strengthening interdisciplinary collaborations and increasing global research partnerships could further enhance his profile.
Publications Top Noted
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Consumer search and purchase: An empirical investigation of retargeting based on consumer online behaviors
Authors: Z Jiang, T Chan, H Che, Y Wang
Year: 2021
Citations: 52
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Can non-tiered customer loyalty programs be profitable?
Authors: A Gopalakrishnan, Z Jiang, Y Nevskaya, R Thomadsen
Year: 2021
Citations: 35
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An empirical bargaining model with left-digit bias: A study on auto loan monthly payments
Authors: Z Jiang
Year: 2022
Citations: 23
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Estimating parameters of structural models using neural networks
Authors: Y Wei, Z Jiang
Year: 2025
Citations: 21
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The Value of Verified Employment Data for Consumer Lending: Evidence from Equifax
Authors: T Chan, N Hamdi, X Hui, Z Jiang
Year: 2021
Citations: 19
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TV advertising effectiveness with racial minority representation: Evidence from the mortgage market
Authors: D Kim, Z Jiang, R Thomadsen
Year: 2023
Citations: 11
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How do bonus payments affect the demand for auto loans and their delinquency?
Authors: Z Jiang, DJ Zhang, T Chan
Year: 2021
Citations: 11
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Designing dealer compensation in the auto-loan market: Implications from a policy change
Authors: Z Jiang, YM Wei, T Chan, N Hamdi
Year: 2023
Citations: 5
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Machine learning and prediction errors in causal inference
Authors: G Allon, D Chen, Z Jiang, D Zhang
Year: 2023
Citations: 5
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Online shopping with endogenous PC and mobile channel choice
Authors: S Zhang, Z Jiang, H Che
Year: 2019
Citations: 5
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Estimating treatment effects under recommender interference: A structured neural networks approach
Authors: R Zhan, S Han, Y Hu, Z Jiang
Year: 2024
Citations: 4
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Referral contagion: Downstream benefits of customer referrals
Authors: R Gershon, Z Jiang
Year: 2025
Citations: 3
