I am a postdoctoral researcher in the Artificial Intelligence group at the University of Melbourne. Before that, I completed a PhD at the University of Melbourne under the guidance of Ben Rubinstein and Rebecca Steorts (at Duke University).
I research topics in machine learning and databases, including data integration, human-in-the-loop systems, and adversarial machine learning. I’m a strong believer in the benefits of reproducible research, and strive to release open source code.
|Aug 17, 2021||Today I presented our work on label-efficient online evaluation at KDD 2021. A pre-recorded version of the talk is available at the ACM DL.|
|May 15, 2021||Our paper on label-efficient online evaluation has been accepted for presentation at KDD 2021.|
|Feb 28, 2021||I’ve started a new position as a Postdoctoral Research Fellow at the University of Melbourne working on adversarial machine learning.|
|Sep 17, 2020||Our paper on distributed Bayesian entity resolution was accepted for publication in the Journal of Computational and Graphical Statistics.|
|Jul 22, 2020||I presented my PhD research in a completion seminar—one of the final milestones of my candidature.|