Australian Institute for Machine Learning - Projects
Faculty of Sciences, Engineering and Technology
I was awarded my PhD in pure mathematics by the University of Wollongong in December 2019, and from 2019 until early 2021 I held postdoctoral fellowships in pure mathematics at the Australian National University and the University of Adelaide. My pure mathematical work spans differential and noncommutative geometry, operator theory and algebraic topology.
Since May 2021 I have been employed as a postdoctoral fellow at the Australian Institute of Machine Learning, where my focus has been the development of theory for equivariance and optimisation in deep learning.
Date Position Institution name 2021 - ongoing Postdoctoral Fellow University of Adelaide 2020 - 2021 Postdoctoral Fellow University of Adelaide 2019 - 2020 Postdoctoral Fellow Australian National University
Language Competency French Can read
Date Institution name Country Title The University of Wollongong Australia PhD
Year Citation 2022 MacDonald, L., Ramasinghe, S., & Lucey, S. (2022). Enabling Equivariance for Arbitrary Lie Groups. In Proceedings / CVPR, IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. New Orleans: IEEE.
Year Citation 2022 MacDonald, L. E. (2022). A characteristic map for the holonomy groupoid of a foliation. SPRINGER HEIDELBERG.
Connect With Me