I am an early career researcher in Statistical Bioinformatics. My interests lie in statistical analysis of high-throughput sequencing data and how this can be used to answer important questions in biological and medical research. I have excellent communication skills honed through teaching and presenting research to a wide audience and I work well both as a team member and individually. I especially enjoy the day to day challenges of learning about and solving problems in a collaborative research environment.
PhD in Statistical Bioinformatics, 2017
The University of Sydney
B. Science (Advanced Mathematics) (Honours I), 2012
The University of Sydney
I have experience with developing R Shiny applications as well as writing R packages. These include:
DCARS Differential Correlation across Ranked Samples: DCARS is a flexible statistical approach which uses local weighted correlations to build a powerful and robust statistical test to identify significant variation in levels of concordance across a ranking of samples. This has the potential to discover biologically informative relationships between genes across a variable of interest, such as survival outcome.
PACMEN PAn Cancer Mutation Expression Networks: A tool for exploring the relationships between mutations and gene expression changes in protein interaction subnetworks for 19 tissues analysed by TCGA.
KinasePA: Enables analysis of kinase perturbation experiments using directional pathway analysis.
The University of Sydney 2015 Educational Innovation Grant #15030 Improving Statistical Efficacy through Engaged Enquiry and Student-Driven Research in a large First Year Unit. Educational Innovation Grant - Round 1 ($6,625). Project leader: Dr Di Warren.
2018 Summer Research Scholarship Student: ‘Establish an interactive visualisation platform to facilitate clinical research in chronic kidney disease’, supervision under guidance by Professor Jean Yang and Professor Germaine Wong.
2017 BINF3101 Bioinformatics Project Unit of Study: ‘Analysis of gene expression, protein interactions and mutations to determine candidate genes for clinically targetable therapeutics’, joint supervision with Professor Jean Yang.
I have extensive experience in aspects of teaching such as:
Lecturing statistics in the following subjects:
Computer demonstrations using R statistical software.
Duty tutoring involving helping students for any first-year mathematics and statistics unit (S1 2013, S2 2013, S1 2014).
Designing and marking final exams, assignments and quizzes.
Subjects tutored vary in topic and difficulty: