Dani Leonard
Lecturer at Newcastle University
Newcastle upon Tyne, England, United Kingdom
Summary
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Senior🎓
Top SchoolDani Leonard is a Lecturer in Astrophysics at Newcastle University with nine years of experience applying statistical modelling, Bayesian inference, and machine learning to TB-scale astronomical datasets to test gravity and dark energy. A proficient scientific programmer in Python, C and C++, Dani develops and maintains open-source research software (including contributions to the Core Cosmology Library) and enforces reproducible, optimized code practices across collaborations. They have authored 23+ peer-reviewed papers, led a 50+ person international working group, and secured over £300K in funding while supervising PhD students and teaching large undergraduate cohorts. Known for turning noisy, high-dimensional survey data into robust cosmological constraints, Dani blends deep theoretical insight with practical software engineering to prepare next‑generation analyses for major telescope projects.
9 years of coding experience
Doctor of Philosophy (Ph.D.), Astrophysics, Doctor of Philosophy (Ph.D.), Astrophysics at University of OxfordBachelor’s Degree, Physics and Applied Mathematics, Bachelor’s Degree, Physics and Applied Mathematics at Memorial University of Newfoundland
English, French
Github Skills (26)
random-walk10
cosmology10
routines10
astrophysics10
density-estimation10
knockout9
energy5
injection5
snl-applications4
sampler4
python3
validation3
machine-learning2
inference2
acceleration2
Programming languages (4)
Github contributions (5)
LSSTDESC/N5K
Sep 2020 - Aug 2022
Non-local No-Nonsense Non-Limber Numerical Knockout
Contributions:14 reviews, 64 commits, 21 PRs in 1 year 11 months
nonsensenon-localno-nonsenseknockout
c-d-leonard/EG_forecasts
Sep 2018 - Mar 2025
Contributions:4 pushes, 1 branch in 6 years 6 months
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