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.


Jul 29, 2022 As a finalist for the Savage Award 2022, I was invited to present research from my PhD thesis at ISBA 2022. A recording of the presentation is available here.
Feb 28, 2022 I presented our work on attacking machine unlearning at AAAI 2022. A pre-recorded video of the talk is available on YouTube.
Aug 17, 2021 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 started a new position as a Postdoctoral Research Fellow at the University of Melbourne working on adversarial machine learning.