Yixin Wang, PhD. Statistics
She/Her
Literature, Science, and the Arts
Yixin Wang works in the fields of Bayesian statistics, machine learning, and causal inference. Her research interests lie in the intersection of theory and applications. She completed her PhD in statistics at Columbia working with David Blei and her undergraduate in mathematics and computer science at the Hong Kong University of Science and Technology.
Projects:
NLP for health care
Research Area(s)
Artificial Intelligence | Bayesian Modeling | machine learning
Grants
- Principal investigator of: Towards Automated Uncertainty Quantification in Causal Inference
- Co-investigator of: Collaborative Research: HDR TRIPODS: The Greater Data Science Cooperative Institute
- Principal investigator of: Reinforcement Learning in High-dimensional Action Spaces: A Causal Representation Learning Approach