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Emory Rollins School of Public Health
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Razieh  Nabi

Asst Professor

Assistant Professor

Faculty, Biostatistics and Bioinformatics

Drawing valid causal conclusions from data is impeded by various factors such as the presence of unmeasured confounders, curse of dimensionality, missing and censored values, measurement error, social contagion, network interference, and data that reflect historical patterns of discrimination and inequality. The focus of my research is the development of novel causal methodologies to address these pressing challenges. My research draws on methodological insights from both machine learning/artificial intelligence, especially using graphical models, and statistical theory, especially semiparametric statistics. My applications of interest include healthcare, social justice, and public policy.

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Contact Information

1518 Clifton Rd

Atlanta , GA 30322

Phone: (404) 727-5862

Email: razieh.nabi@emory.edu

URL:

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Areas of Interest

  • Causal Inference
  • Health Disparities
  • Machine Learning
  • Missing and Mismeasured Data

Education

  • PhD 2021, Johns Hopkins University
  • M.Sc. 2016, University of Texas at El Paso
  • B.Sc. 2012, Sharif University of Technology

Affiliations & Activities

Tweets by @raziehnabi

Publications

  • , , Full Law Identification In Graphical Models Of Missing Data: Completeness Results, International Conference on Machine Learning (ICML), ,
  • , , Identification In Missing Data Models Represented By Directed Acyclic Graphs, Conference on Uncertainty in Artificial Intelligence (UAI), ,
  • , , Learning Optimal Fair Policies, International Conference on Machine Learning (ICML), ,
  • , , Estimation of Personalized Effects Associated With Causal Pathways, Conference on Uncertainty in Artificial Intelligence (UAI), ,
  • , , Fair inference on outcomes, AAAI Conference on Artificial Intelligence, ,