About

I am an incoming third-year Computer Sciences PhD student at UW-Madison, where I am co-advised by Aws Albarghouthi and Loris D’Antoni.

My work is motivated by the question of how we can ensure that technology – especially machine learning – is deployed in fair, trustworthy, and socially responsible ways. In particular, my research looks at how to certify robustness for machine learning algorithms in the presence of data poisoning or bias in the training dataset.

News

  • June 2022 - I am spending the summer at Hima Lakkaraju’s AI4Life lab at Harvard to work on explainable ML
  • April 2022 - I gave a talk on my work certifying data-bias robustness in decision trees at the UW-Madison CS Research Symposium
  • December 2021 - my first paper, Certifying Robustness to Programmable Data Bias in Decision Trees, was published at NeurIPS!

Publications

Certifying Robustness to Programmable Data Bias in Decision Trees
Anna P. Meyer, Aws Albarghouthi, and Loris D’Antoni
NeurIPS 2021
[pdf] [slides] [video] [code]

Preprints

Certifying Data-Bias Robustness in Linear Regression
Anna P. Meyer, Aws Albarghouthi, and Loris D’Antoni
[pdf] [code]