Hi, I’m Anna. I’m a PhD candidate in Biostatistics at Emory.
- 👩 My personal website
- 🔭 I’m broadly interested in causal inference and machine learning,
with a focus on:
- Causal perspectives on missing data
- Flexible estimation of causal effects using targeted learning and double de-biased machine learning
- Identification of causal effects in the presence of unmeasured confounding
- Weighting-Based Identification and Estimation in Graphical Models of Missing Data. 📚code. 📦package. 📄paper.
- Causal Inference with the “Napkin Graph”. 📚code. 📦package. 📄paper.
- Average Causal Effect Estimation in DAGs with Hidden Variables: Beyond of Back-Door and Front-Door Criteria. 📚code. 📦package. 📄paper.
- Flexible nonparametric inference for causal effects under the front-door model. 📚code. 📦package. 📄paper.
- Sufficient Identification Conditions and Semiparametric Estimation under Missing Not at Random Mechanisms. 📚code. 📄paper.