I am developing deep learning models to improve the classification of mammograms and researching the integration of artificial intelligence (AI) into real-world breast screening programs. I use my skills and experience and my passion for data visualisation and software design to develop tools that can enhance scientific communication and translate technical understanding into actionable insights.
Following completion of my PhD in Statistics, I completed postdoctoral studies in Bayesian Econometrics at The University of Melbourne. In 2020, I was awarded two grants from the R Consortium, to develop an R-to-JavaScript transpiler that assists researchers in creating animated and interactive visualisations for high-quality and engaging science communication.
Key achievements
2020 R Consortium Grant (2 grants received, in Fall and Spring granting rounds)
2015 Outstanding Tutor Prize
2014-2018 Melbourne International Fee Remission Scholarship
2014-2017 Melbourne International Research Scholarship
2014 Kinsman Studentship; Kinsman Prize
2012 Institute of Actuaries Australia Honours Prize
2009-2010 University of California, Berkeley (USA); Education Abroad Program (Mathematics)
Bioinformatics & Cellular Genomics
We focus on the challenges of analysing and interpreting large-scale biological data. Bringing together expertise in bioinformatics, statistics and machine learning, we develop new methods and software and collaborate closely with a wide range of colleagues on studies motivated by specific biologically-focused questions.
Lab head: Associate Professor Davis McCarthySelected publications
Helen ML Frazer, Carlos A Peña-Solorzano, Chun Fung Kwok, Michael Elliott, Yuanhong Chen, Chong Wang, the BRAIx team, Jocelyn Lippey, John Hopper, Peter Brotchie, Gustavo Carneiro, Davis J McCarthy. AI integration improves breast cancer screening in a real-world, retrospective cohort study. medRxiv preprint server for health sciences. doi.org/10.1101/2022.11.23.22282646
Helen ML Frazer, Jennifer SN Tang, Michael S Elliott, Katrina M Kunicki, Brendan Hill, Ravishankar Karthik, Chun Fung Kwok, Carlos A. Peña-Solorzano, Yuanhong Chen, Chong Wang, Osamah Al-Qershi, Samantha K. Fox, Shuai Li, Enes Makalic, Tuong L. Nguyen, Daniel Schmidt, Prabhathi Basnayake Ralalage, Jocelyn F Lippey, Peter Brotchie, John L Hopper, Gustavo Carneiro, Davis J McCarthy. ADMANI – annotated digital mammograms and associated non-image datasets. Radiology: Artificial Intelligence (in press)
Chun Fung Kwok (2022). sketch: Interactive Sketches. R package version. 1.1.19. https://CRAN.R-project.org/package=sketch
ORCID profile: 0000-0002-0716-3879