Iwona Hawryluk
Data Scientist
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolIwona Hawryluk is a data scientist with a PhD in applied statistics and over a decade of experience applying mathematical and Bayesian methods to real-world problems across health, cybersecurity, and environmental domains. She has built and deployed machine learning and deep learning models for medical data, satellite imagery, and audio, and has driven statistical innovation in roles spanning academia, industry, and public health. Her work includes postdoctoral development of global health methods at Imperial College, anomaly-detection research in cybersecurity (see related arXiv work), and practical exposure-assessment modelling for food safety. Based in London, she combines rigorous theoretical training with a track record of translating complex models into operational insights in multidisciplinary teams.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Applied Statistics - Infectious Disease Epidemiology, Doctor of Philosophy - PhD, Applied Statistics - Infectious Disease Epidemiology at Imperial College LondonBachelor of Science (B.Sc.), Mathematics, Biomathematics, Overall grade 4.5/5, Bachelor of Science (B.Sc.), Mathematics, Biomathematics, Overall grade 4.5/5 at University of WroclawMaster of Science (M.Sc.), Mathematics, Biomathematics, Overall grade 5/5, Master of Science (M.Sc.), Mathematics, Biomathematics, Overall grade 5/5 at University of Helsinki
Polish, English, German
Github Skills (6)
hugo-theme8
hugo7
jupyter-notebook3
python3
jupyter3
numpyro2
Programming languages (2)
Github contributions (5)
ihawryluk/GP_nowcasting
Feb 2021 - Jul 2021
Contributions:17 commits, 15 pushes, 1 branch in 5 months
mrc-ide/Brazil_COVID19_distributions
Jul 2020 - Nov 2020
Contributions:10 commits, 8 pushes, 1 branch in 4 months
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