Doruk Gökmen
Postdoctoral Researcher at University of Chicago
Switzerland
Summary
👤
Senior🎓
Top SchoolDoruk Gökmen is a postdoctoral researcher based in Switzerland with eight years of interdisciplinary experience at the intersection of statistical physics, machine learning, and soft-matter/biological physics. He developed a renormalisation group algorithm grounded in lossy compression theory during his doctoral work at ETH Zürich, blending information theory with practical computational methods. Currently affiliated with the University of Chicago and a fellow at the NSF-Simons NITMB, he investigates how emergent, low-dimensional languages capture collective behaviors distinct from microscopic descriptions. His background spans theory, hands-on quantum and photonics experiments, and teaching, giving him a rare combination of mathematical rigor and experimental intuition. Known for framing complex phenomena in terms of concise emergent concepts, he often brings ideas from machine learning to bear on fundamental physics problems.
8 years of coding experience
5 years of employment as a software developer
MEB Bilim ve Sanat MerkeziBachelor of Science (BSc) Physics, Bachelor of Science (BSc) Physics at Bilkent UniversityDoctor of Sciences (Dr. sc. nat.) Theoretical and Mathematical Physics, Doctor of Sciences (Dr. sc. nat.) Theoretical and Mathematical Physics at ETH Zürich
Japanese, Latin, German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (14)
mutual-information10
statistical-physics9
physics9
machine-learning-algorithms8
gnn8
tensorflow6
python6
graph-neural-network6
machine-learning5
deep-learning4
monte-carlo4
matlab3
algorithm2
simulation2
Programming languages (3)
Github contributions (5)
dgoekmen/dgoekmen.github.io
Aug 2018 - Mar 2019
Contributions:5 PRs, 73 pushes, 10 branches in 6 months
dgoekmen/Statistical-Mechanics
Aug 2018 - Mar 2019
Illustrating various topics in classical and quantum statistical mechanics through Monte Carlo simulations.
Contributions:4 PRs, 89 pushes, 5 branches in 6 months
monte-carlo
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