Mr Nic   Kuo
Research Fellow

Mr Nic Kuo

Medicine & Health
Centre for Big Data Research

Nic Kuo is a statistician and mathematics by training at the University of Auckland (UoA).
He continued to do a Masters in Science (Applied Mathematics) at the UoA,
and a Doctor of Philosophy (Computer Science) at the Australian National University (ANU).

He is now a research fellow of the Centre for Big Data Research of the Faculty of Medicine,
and is working with Professor Louisa Jorm and Dr. Sebastiano Barbieri.


AGSM Building (G27), Gate 11, Botany St, UNSW Sydney Campus, Botany St, Kensington NSW 2052


  • Conference Papers | 2021
    Kuo NIH; Harandi M; Fourrier N; Walder C; Ferraro G; Suominen H, 2021, 'Plastic and stable gated classifiers for continual learning', in IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp. 3548 - 3553,


Studied at the ANU under the Australian Government Research Training Program Domestic Scholarship.



Nic focuses on machine learning and data science.
Especially, his focuses are in the deep learning disciplines of:
machine learning theories,
recurrent neural networks (RNNs),
meta-learning (learning to optimise), and
continual learning (memory based techniques).

His current work at the UNSW is about developing
clinical text-based machine learning algorithms for
the large scale screening of cardiovascular risk.