Evert Nasedkin
Postdoctoral Researcher at Trinity College Dublin
Dublin, Ireland
Summary
👤
Senior🎓
Top SchoolEvert Nasedkin is a postdoctoral researcher at Trinity College Dublin with eight years of experience developing retrieval codes and physical models to probe the atmospheres and weather of exoplanets and brown dwarfs. Trained at Heidelberg and ETH Zürich, he blends data analysis, Bayesian statistics, and machine learning to turn sparse spectral observations into robust atmospheric inferences. His background ranges from cryogenic instrument characterisation and vacuum test facilities to automated ROOT-based analysis, giving him rare hands-on expertise across hardware and software in observational astrophysics. Passionate about climate and impactful science, he applies rigorous statistical methods to planetary atmospheres while keeping an eye on broader environmental challenges.
8 years of coding experience
1 year of employment as a software developer
High School, International Baccalaureate, High School, International Baccalaureate at Grande Prairie Composite High SchoolDoctor of Science, Astronomy, Magna Cum Laude, Doctor of Science, Astronomy, Magna Cum Laude at Heidelberg UniversityMaster of Science - MS, Physics, Master of Science - MS, Physics at ETH ZürichBachelor of Science (BS), Physics, Bachelor of Science (BS), Physics at University of Waterloo
English, French
Github Skills (42)
high-contrast10
feature-extraction9
spectral9
pca9
image-filters9
contrast9
monte-carlo8
telescope8
mcmc8
imaging8
james8
image-processing8
astronomy8
sampling7
data-processing7
Programming languages (2)
Github contributions (5)
patapisp/PACO
Nov 2018 - Sep 2019
Python implementation of PACO algorithm by Flausseur 2018
Contributions:104 commits, 4 PRs, 102 pushes in 9 months
python-implementationpythonpaco
nenasedk/petitRetrieval
Jan 2020 - Jun 2021
Atmospheric retrieval code using pymultinest and petitRadTrans
Contributions:6 commits, 19 pushes, 1 branch in 1 year 5 months
atmosphericpythonretrieval
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.