Minas Karamanis
Postdoctoral Fellow at University of California, Berkeley
Netherlands
Summary
👤
Senior🎓
Top SchoolMinas Karamanis is a computational scientist and postdoctoral fellow at UC Berkeley and Lawrence Berkeley National Laboratory with nine years of experience building high-performance Bayesian inference tools for cosmology and astrophysics. He leads development of widely used open-source packages such as zeus and pocoMC and authors hankl, bringing practical, production-grade implementations of Monte Carlo and FFTLog methods to the community. His PhD from the University of Edinburgh, recognized with the Winton Award, produced novel gradient-free algorithms including Ensemble Slice Sampling that scale to highly correlated, black-box problems. Minas combines deep statistical modeling and scientific computing expertise with hands-on mentorship of students on projects from gravitational waves to exoplanet atmospheres, and is known for accelerating large-scale survey inference through preconditioned and sequential Monte Carlo techniques.
9 years of coding experience
Doctor of Philosophy - PhD, Astrophysics, Doctor of Philosophy - PhD, Astrophysics at The University of EdinburghMASt (Master of Advanced Study) in Applied Mathematics, Theoretical Physics, MASt (Master of Advanced Study) in Applied Mathematics, Theoretical Physics at University of CambridgeBachelor of Science with Honours (B.Sc. (Hons)), Physics, 9.16, Bachelor of Science with Honours (B.Sc. (Hons)), Physics, 9.16 at Aristotle University of Thessaloniki (AUTH)
English, Greek
Github Skills (49)
cosmology10
python10
machine-learning10
inference10
sampling10
mcmc10
bayesian10
bayesian-inference10
astronomy9
numerical-integration9
astrophysics9
conda9
tensorflow9
pure-python9
deep-learning9
Programming languages (5)
Github contributions (5)
minaskar/pocomc
Feb 2022 - Nov 2022
pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation
Contributions:136 commits, 60 PRs, 169 pushes in 9 months
bayesianmonte-carlopythonastronomyastrophysics
minaskar/hankl
Jul 2020 - Jul 2020
hankl is a lightweight Python implementation of the FFTLog algorithm for Cosmology
Contributions:84 commits, 72 pushes in 20 days
pythonhankelfftlogfftcosmology
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