Rozhina Ghanavi

Rozhina Ghanavi

PhD student, MIT and MIT Sloan
MIT Presidential Fellow

I study questions at the intersection of Quantitative Marketing, Economics of Data and Competition, Industrial Organization, and AI. My work uses tools from structural modeling, econometrics, machine learning, and statistics to understand technology markets and social outcomes.

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Bio

I am a PhD student at MIT Sloan. My current research focuses on Quantitative Marketing, Economics of Data and Competition, Industrial Organization, and AI. I am advised by Catherine Tucker.

Before my PhD, I was a researcher at the Rotman School of Management and the TD Management Data and Analytics Lab at the University of Toronto, working with Avi Goldfarb and Ryan Webb.

In another pre-econ life, I spent time at an NLP startup as a machine learning researcher, where I worked on large representational language models. Earlier research projects include generative models, NLP, MCMC and sampling methods, reinforcement learning, and next-generation wireless communications.

Research

Working Papers

  • Privacy Regulation and AdTech Consolidation
    Rozhina Ghanavi, Sepideh Hosseini, and Catherine Tucker
    R&R, Management Science
    SSRN
  • When Does Regulation Redirect Innovation? Evidence from Privacy Laws and EdTech Market
    Rozhina Ghanavi and Catherine Tucker
  • Privacy and Targeted Recruitment in Higher Education
    Rozhina Ghanavi and Catherine Tucker
  • Communicating Uncertainty Can Increase AI Adoption
    Mohsen Foroughifar, Rozhina Ghanavi, Avi Goldfarb, and Ryan Webb
    SSRN

Other Articles

  • Synthetic Data, Network Effects and the Future of Competition
    Rozhina Ghanavi and Catherine Tucker
    Competition Policy International
    Article

Pre-econ Research

Computer Science Publications

  • Generative Adversarial Imputation for Classification Network
    Rozhina Ghanavi, Ben Liang, and Ali Tizghadam
    GLOBECOM 2021
    IEEE
  • Q-learning Based Aerial Base Station Placement for Fairness Enhancement in Mobile Networks
    Rozhina Ghanavi, Maryam Sabbaghian, and Halim Yanikomeroglu
    GlobalSIP 2019
    arXiv
  • Efficient 3D Aerial Base Station Placement Considering Users Mobility by Reinforcement Learning
    Rozhina Ghanavi, Elham Kalantari, Maryam Sabbaghian, Halim Yanikomeroglu, and Abbas Yongacoglu
    WCNC 2018
    IEEE
  • Autism Screening Using an Intelligent Toy Car
    Hadi Moradi, Sorour E. Amiri, Rozhina Ghanavi, Babak Nadjar Aarabi, and Hamid-Reaza Pouretemad
    UCAmI 2017
    Springer

Background

Education

PhD in Management Research MIT, 2024-present
MS in Electrical and Computer Engineering University of Toronto
BS in Electrical Engineering, Telecommunications University of Tehran

Experience

Research Associate Rotman School of Management, University of Toronto, 2022-2024
Machine Learning Researcher Cohere
Research Intern Vector Institute
Research Intern Carleton University

Interests

  • Quantitative Marketing, Economics of Data and Competition, Industrial Organization, and Economics of AI.
  • Technical tools: structural models, econometrics, statistical learning, deep learning, generative models, reinforcement learning, NLP, Python, PyTorch, TensorFlow, MATLAB, and C.