Sophie Wharrie
Research Fellow at University of Melbourne
Greater Sydney Area Australia
Summary
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Senior🎓
Top SchoolSophie Wharrie is a Research Fellow in Biological Data Science with nine years of experience applying probabilistic machine learning to real-world problems across academia, startups, and consulting. She completed a PhD in probabilistic ML at Aalto and transitioned from doctoral research at the Finnish Center for AI to co-founding and leading AI at a health-focused startup, bringing both deep research rigor and product-minded execution. Her background spans econometrics and actuarial/data science consulting, giving her a strong quantitative foundation for interpretable, high-stakes modeling. Based in Greater Sydney, she combines academic publications and hands-on ML system design to move models from theory into deployed research workflows. An understated strength is her ability to bridge domain experts and engineers, translating complex statistical ideas into practical solutions for biological data.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science, Mathematics and Statistics, Economics, Bachelor of Science, Mathematics and Statistics, Economics at The University of Western AustraliaPhD, Doctor of Science (Technology), Computer Science (Probabilistic Machine Learning), PhD, Doctor of Science (Technology), Computer Science (Probabilistic Machine Learning) at Aalto UniversityThe University of Sydney
Github Skills (2)
bioinformatics1
prediction1
Programming languages (2)
Github contributions (5)
intervene-EU-H2020/synthetic_data
Nov 2021 - Feb 2023
Software program for generating synthetic datasets for genotypes and phenotypes
Contributions:1 review, 99 commits, 6 PRs in 1 year 2 months
sophiewharrie/meta-learning-hierarchical-model-similar-causal-mechanisms
Oct 2023 - Dec 2024
Contributions:4 pushes in 1 year 2 months
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