Augustinas Šukys
Postdoctoral Researcher at University of Melbourne
City of Edinburgh, Scotland, United Kingdom
Summary
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Senior🎓
Top SchoolAugustinas Šukys is a postdoctoral researcher with nine years of experience at the intersection of quantitative biology, computational physics, and machine learning, currently based at the University of Melbourne. His PhD work at The Alan Turing Institute and University of Edinburgh focused on approximation and inference for stochastic systems biology, building practical inference methods for complex biological models. He has a strong background in applying deep learning and interpretable ML to scientific problems—from Ising model analysis and LHCb flavour tagging to Gaia imaging classification—combined with hands-on HPC and scripting experience. Augustinas blends theoretical rigor with applied engineering, having produced reproducible analysis pipelines and contributions to published atomic-data work. Colleagues can expect a researcher comfortable translating physics-driven insight into scalable computational models and probing model interpretability beyond black-box performance.
9 years of coding experience
1 year of employment as a software developer
Computational Physics (MPhys), Computational Physics (MPhys) at The University of EdinburghSecondary Education, Award of Brandos Atestatas with Honours, Secondary Education, Award of Brandos Atestatas with Honours at Dusetos Kazimieras Buga gymnasiumDoctor of Philosophy - PhD, Quantitative Biology, Doctor of Philosophy - PhD, Quantitative Biology at The Alan Turing Institute
English, Lithuanian, French
Stackoverflow
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Github Skills (65)
stochastic-processes10
systems-biology10
closure10
moments10
reaction10
symbolic-manipulation9
ssreflect9
simplification9
julia9
wolfram-language9
ode9
rewriting9
symbolic-math9
pattern-matching9
dde9
Programming languages (3)
Github contributions (5)
augustinas1/MomentClosure.jl
Feb 2021 - Jul 2022
Tools to generate and study moment equations for any chemical reaction network using various moment closure approximations
Contributions:1 review, 174 commits, 45 PRs in 1 year 4 months
moment-closureequationspythongene-networkmoments
augustinas1/Nessie
Apr 2022 - Jul 2022
Contributions:1 release, 7 commits, 3 pushes in 2 months
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