Biography

Shadi Seyedi received her B.S. degree in Economics from the Ferdowsi University of Mashhad, Iran in 2017, and her M.S Degree in Applied Economics and Econometrics from the University of Delaware. She is currently a Ph.D Student in Public Policy in Evaluation and Analytical Methods track, and working as graduate assistant with Dr.Bennett.
Her primary research interest lies at intersection of Econometrics, Statistics and Machine learning; Her work primarily focuses in applying methodology from these fields for drawing causal inferences in observational studies. Primarily in areas of public health, health care access, and health equity.

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Interests
  • Causal Inference
  • Econometrics and Machine Learning
  • Health Economics
  • Health Policy
Education

  • PhD in Public Policy, 2024

    University of Maryland, Baltimore County

  • MSc in Economics and Applied Econmetrics, 2019

    University of Delaware

  • BSc in Economics, 2016

    Ferdowsi University of Mashhad

Skills

Programming

R, Python, Git, LaTeX, SQL

Statistics

Stata, SAS

Machine Learning

PyTorch, TenserFlow

Accomplish­ments

Coursera
Data Science Specialization
Coursera Jan 2021
See certificate

Projects

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All Deep Learning Other
Apr 27, 2016
External Project
External Project

An example of linking directly to an external project website using external_link.
Apr 27, 2016
Internal Project
Internal Project

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Recent Publications

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Shadi Seyedi (2019). An example preprint / working paper.

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Shadi Seyedi, Robert Ford (2015). An example journal article. Journal of Source Themes, 1(1).

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