Neil G. Marchant

Postdoctoral Researcher · School of Computing and Information Systems · University of Melbourne

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.

News

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.