Razieh Nabi
Rollins Asst Professor
Rollins 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.
Contact Information
1518 Clifton Rd
Atlanta , GA 30322
Phone: (404) 727-5862
Email: razieh.nabi@emory.edu
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
Courses Taught
- BIOS 797R: Directed Study
Affiliations & Activities
Tweets by @raziehnabi
Publications
- Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser, 2022, Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables, Journal of Machine Learning Research (JMLR), ,
- Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser, 2020, Full Law Identification In Graphical Models Of Missing Data: Completeness Results, International Conference on Machine Learning (ICML), ,
- Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser, James M Robins, 2019, Identification In Missing Data Models Represented By Directed Acyclic Graphs, Conference on Uncertainty in Artificial Intelligence (UAI), ,
- Razieh Nabi, Daniel Malinsky, Ilya Shpitser, 2019, Learning Optimal Fair Policies, International Conference on Machine Learning (ICML), ,
- Razieh Nabi, Phyllis Kanki, Ilya Shpitser, 2018, Estimation of Personalized Effects Associated With Causal Pathways, Conference on Uncertainty in Artificial Intelligence (UAI), ,
- Razieh Nabi, Ilya Shpitser, 2018, Fair inference on outcomes, AAAI Conference on Artificial Intelligence, ,