I am currently a PhD student, funded by a Gates Cambridge Scholarship, in the MRC Biostatistics Unit at the University of Cambridge, supervised by Dr Chris Wallace. My thesis focuses on improving statistical methodology for mechanistically interpreting GWAS identified loci. Specifically, I am developing the eQTL mapping software quasar and contributing to the colocalisation methodology implemented in coloc. I am aiming to finish my PhD in (Northern Hemisphere) summer 2027.
Previously, I completed a Master of Science (Mathematics and Statistics) at the University of Melbourne. My thesis (paper), supervised by Dr Davis McCarthy, compared different statistical methods for selecting genes that distinguish biological cell-types in single-cell RNA-sequencing data. I won the Dwight Prize in Mathematical Statistics as the highest-scoring student in the statistics and stochastic processes specialization in the MSc. I completed my BSc (Mathematics and Statistics) at the University of Melbourne in 2018.
I have also worked as a:
- Senior Analyst/Statistician at the Victorian Agency for Health Information, part of the Victorian Department of Health,
- Graduate at the Australian Institute of Health and Welfare, and,
- Research assistant (Part-time) in Wayne Crismani’s Lab at the St Vincent’s Institute of Medical Research.
You can find me on Bluesky or email me at jeffrey.pullin[at]gmail.com
Education
PhD in Biostatistics
University of Cambridge, 2023 —
Master of Science (Mathematics and Statistics)
University of Melbourne, 2021
Bachelor of Science
University of Melbourne, 2018