ACIIDS 2020 Online Conference Presentation

Presented the paper "Comparing High Dimensional Word Embeddings Trained on Medical Text to Bag-of-Words For Predicting Medical Codes" online.

Journal Paper

Our paper "A review of automatic end-to-end de-identification: Is high accuracy the only metric?" is published in Applied Artificial Intelligence Journal (Feb 2020).


Conference Paper Accepted

Our paper "Comparing High Dimensional Word Embeddings Trained on Medical Text to Bag-of-Words For Predicting Medical Codes" has been accepted for publication in proceedings of the Asian Conference on Intelligent Information and Database Systems (ACIIDS 2020), at Phuket Thailand, March 2020.


ResearcHERs code Interview

My interview about women in tech (which I did while I was at MLSS 2019 London) just got published. Read full interview.


Poster Presentation

Machine Learning Summer School (MLSS) 2019 London, held at the University College London.

Waikato Graduate Women Educational Trust Merit award

A very proud moment receiving Waikato Graduate Women Educational Trust Merit award for my Doctoral studies. A big thank you for the encouragements and support provided by my chief supervisor Prof Bernhard Pfahringer. Also, to Dr. Mike Mayo, Dr Tony Smith, Prof Eibe Frank and the machine learning lab at the University of Waikato.

Best Paper Award

A Nearest Neighbour-Based Analysis to Unmask Patients from Continuous Glucose Monitor Data: presented at the Asian Conference on Intelligent Information and Database Systems (ACIIDS) 2019, Indonesia.

Ladies Inc. Industry Profile

I recently completed a Master of Science in Computer Science (First Class Honours) and am about to start my PhD at the University of Waikato. I also hold a Master of Science in Applied Mathematics (First Class Honours) from the University of Auckland.

I have previously worked as a mathematics lecturer and as the financial manager for a busy medical practice. My experience working in the health sector has given me a special interest in applying Artificial Intelligence (AI) to solving medical problems. This is a field that AI can make a major positive impact in.

The health sector will face major challenges in the coming decades as it grapples with an ageing population, key worker shortages and increasingly complex medical technology, while facing increased public expectations and financial constraints.

AI can potentially provide new ways of doing things, or doing what the health sector already does better, faster and cheaper. I am also the mother of twin four-year-old boys. My passion for research and learning has brought me to tertiary education after a decade in the workforce. I believe we can never stop learning or pushing past our perceived limitations.

My PhD Journey

I started my PhD journey at the University of Waikato, 1st Sep 2018, with University of Waikato Doctoral scholarship for 3 years.