Henrik Järleblad
Postdoctoral Researcher at DTU Physics
Malmo, Sweden
Summary
👤
Senior🎓
Top SchoolHenrik Järleblad is a postdoctoral researcher in plasma physics and fusion energy based in Malmö with eight years of experience applying machine learning to diagnostics, particularly fast-ion tomography in tokamak plasmas. He combines deep domain expertise from a PhD at DTU with strong software skills in Julia, Python, MATLAB, C++, and Java to build and evaluate data-driven reconstruction methods. Henrik’s work sits at the intersection of experiment and computation, aiming to make tomographic reconstructions both faster and more accurate for fusion research. Beyond research, he brings organizational and communication strengths and an uncommon creative background in music composition, which informs a multidisciplinary approach to problem solving.
8 years of coding experience
9 years of employment as a software developer
KTH Royal Institute of TechnologyExamen, Music composing and orchestration, Examen, Music composing and orchestration at Gotlands TonsättarskolaGymnasieexamen, Natural sciences, Music profile, Gymnasieexamen, Natural sciences, Music profile at Viktor Rydberg Gymnasium Odenplan
Swedish, English, French, Danish
Stackoverflow
43reputation
684reached
0answers
1question
Github Skills (29)
modular9
orbit8
orbits8
clang8
toolchain8
cosmology7
llvm7
orbital-mechanics7
julia7
compiler6
astrodynamics6
visualization6
routines4
visualizations4
timezone4
Programming languages (3)
Github contributions (5)
JuliaFusion/OWCF
Nov 2022 - Jan 2023
A framework for Synthetic Diagnostics using Energetic-particle Orbits in Tokamaks
Contributions:6 releases, 23 reviews, 8 commits in 2 months
HenrikJarleblad/searchgroup12
Apr 2018 - May 2018
Contributions:7 pushes in 1 month
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