Mehrzad Khosravi
Mehrzad Khosravi
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Ph.D. Candidate in Quantitative Marketing
University of Washington - Foster School of Business
Contact: mehrzad[at]uw[dot]edu
I work on problems where marketing, data, and technology collide.
My background spans quantitative research, data science, and hands-on digital marketing—from leading growth initiatives and managing creative teams to building causal models of marketing effectiveness and studying how AI changes consumer behavior. Today, as a Marketing Ph.D. candidate, advised by Prof. Hema Yoganarasimhan, I use econometrics, experimentation, and machine learning to turn messy business questions into measurable ones.
I’m especially interested in problems involving AI, customer behavior, digital platforms, marketing effectiveness, and growth—particularly when the answer requires both rigorous analysis and an understanding of how marketing actually works in practice.
Research Highlight
Khosravi, M., & Yoganarasimhan, H. (2026).
Featured in more than 60 news outlets and blogs [list]
RQ: What is the causal effect of the Google AIO launch on Wikipedia's organic search traffic?
Method: A difference-in-differences (DiD) design using English articles as the treatment group and German or French ones as the control groups.
Results: English articles experienced a ~5% decline relative to the control groups
Khosravi, M., Kleiman-Weiner, M., Yoganarasimhan, H. (2026).
RQ: How do consumers transfer their knowledge about brands from one product category to another?
Method: proposed meta-learning algorithms in combination with lab experiments and Bayesian likelihood estimations.
Results: consumers do meta-learn, but in a non-optimal and noisy manner.
Khosravi, M. & Yoganarasimhan, H. (2026).
RQ: Is the use of third-party online traffic data for causal inference research defensible?
Method: We simulate stylized third-party data-modeling mechanisms to assess whether using this type of data produces biased estimates.
Results: Third-party traffic data could induce bias in estimates, and researchers would not be able to estimate the bias direction.
Education
Ph.D. Candidate, Quantitative Marketing (2022–present)
University of Washington, Foster School of Business, Seattle, WA
M.S., Business Administration, Quantitative Marketing (2024)
University of Washington, Foster School of Business, Seattle, WA
M.S., Business Administration, Marketing (2018)
University of Tehran, Tehran, Iran
B.Sc., Mechanical Engineering (2015)
Sharif University of Technology, Tehran, Iran
Professional Experience
Amperity (2022)
Data Science Intern, Seattle, WA
Myket Android App Store (2019-2022)
Senior Digital Marketer, Tehran, Iran
Chetor.com (2017-2020)
Project Manager, Tehran, Iran
Iranian Manataz (2016-2017)
Co-founder and Vice Chair, Esfahan, Iran
Chauffagekar Industrial Co. (2013-2016)
Technical Export Expert, Tehran, Iran
Awards and Honors
Haring Symposium Doctoral Student Fellow (2026)
ISMS Marketing Science Doctoral Consortium Fellow (2025)
Endowed doctoral fellowships: James B. Wiley (University of Washington)
Evert McCabe Fellowship in Private Enterprise (University of Washington)
Bertauche Transportation Endowment (University of Washington)
Ranked 12th of ∼60,000 candidates nationally in the graduate entrance examination in management science; 5th in the field of specialization (2015)
Ranked 271st of ∼400,000 candidates nationally in the undergraduate entrance examination (2010)
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