معرفی
Malika Korganbekova is an Assistant Professor of Marketing at the University of Chicago Booth School of Business and a Fishman Faculty Fellow. Her research combines causal inference, empirical industrial organization, and machine learning to analyze how technology affects societal issues like privacy, data regulation, and sustainability.
- PhD in Quantitative Marketing (Kellogg School of Management, Northwestern University, 2024 expected)
- Master’s in Economics (Penn State, 2018; Central European University, 2015)
- Bachelor’s in Economics (Lomonosov Moscow State University, 2013)
Her work with major e-commerce platforms explores:
- Privacy restrictions' impact on personalization algorithms
- Environmental consequences of fast shipping
- Regulatory challenges in dual-platform B2B markets
- Dynamic pricing strategies influenced by ranking systems
Key methodologies include structural econometrics, deep learning, and field experimentation. Her research has been presented at leading conferences such as INFORMS, KDD Workshop, and Wharton Innovation Doctoral Symposium.
Scientific awards include:
- MSI Alden G. Clayton Best Dissertation Proposal Award (2023)
- Shankar-Spiegel Best Dissertation Proposal Award (2023)
- INFORMS Society for Marketing Science Doctoral Fellowship (2022, 2023)
She has collaborated with Wayfair’s Machine Learning Science team and previously worked at Google, Morgan Stanley, and KPMG.
