Research


My current research is motivated by the challenges I encountered during my master’s thesis research at Melbourne University. In that project, I struggled to build accurate models that predicted portability because incomplete statistical power confounded which genetic associations (specifically eQTLs) were labeled ‘portable’ from one human population to another. This experience made me want to explore ways to reduce the impact of power on such analyses, and thus it become the focus of my work as a research assistant at St Vincent’s Institute of Medical research.

Outside of this major line of work, I have collaborated with researchers at Monash University to test evolutionary theories against data (e.g., the ‘Unguarded X’ theory) and with bioinformaticians at the Walter and Eliza Hall Institute of Medical Research to build R software packages (e.g. TABI, for testing differential mRNA abundance).


Skip to: Miscellaneous research resources, research publications, recent conference presentations or research projects.

Research Projects

Predicting the cross population portability of human eQTLs

Predicting the cross population portability of human eQTLs

Masters research project investigating the evolutionary, functional and expression properties of human eQTLs which are non-portable across populations, supervised by: Dr. Irene Gallego Romero & Dr. Christina Azodi (March 2021 - December 2022)

How much does the unguarded X contribute to sex differences in life span?

How much does the unguarded X contribute to sex differences in life span?

Collaboration with Tim Connallon, Yasmine McDonough & Filip Ruzicka (August 2021 - February 2022)

Investigating the evolution of palindromes on the sex chromosomes

Investigating the evolution of palindromes on the sex chromosomes

A semester long internship developing models to understand the evolutionary dynamics of palindromes on the X chromosome, supervised by: Dr. Tim Connallon (February 2021 - July 2021)

TABI: Transcriptomic Analyses through Bayesian Inference

TABI: Transcriptomic Analyses through Bayesian Inference

Undergraduate research project developing a Bayesian R Package for Differential Gene Expression Analysis over Continuous Covariates, TABI supervised by: Dr. Stefano Mangiola & Prof. Tony Papenfuss (December 2019 - March 2021)

Testing a theory for the evolution of inversions

Testing a theory for the evolution of inversions

A short winter vacation project investigating the association between inversions and sexually antagonistic genes, supervised by: Dr. Filip Ruzicka and Dr. Tim Connallon (June 2019)