Postdoctoral Researcher at NSF-Simons National Institute for Theory and Mathematics in Biology
Switzerland
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Summary
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Doruk 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 Merkezi
Bachelor of Science (BSc) Physics, Bachelor of Science (BSc) Physics at Bilkent University
Doctor of Sciences (Dr. sc. nat.) Theoretical and Mathematical Physics, Doctor of Sciences (Dr. sc. nat.) Theoretical and Mathematical Physics at ETH Zürich
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