Dong-kyum Kim
Postdoctoral Research Fellow at Max Planck Institute for Security and Privacy (MPI-SP)
Bochum, North Rhine-Westphalia, Germany
Summary
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Senior🎓
Top SchoolDong-kyum Kim is a Postdoctoral Research Fellow at the Max Planck Institute for Security and Privacy, specializing in how large language models store, update, and erase internal knowledge. With a PhD in Physics from KAIST and nine years of research experience, he blends rigorous quantitative training with hands-on experimentation in ML interpretability and model editing. His recent postdoc work at IBS and now MPI-SP focuses on making LLMs more transparent and controllable, aiming to bridge theoretical insights with practical defenses for model reliability. Based in Bochum, Germany, he brings a physicist’s precision to probing emergent behaviors in neural networks and designing interventions that alter model memory without catastrophic side effects. Notably, his profile reflects a transition from fundamental physics to applied AI security, giving him a unique perspective on measuring and manipulating knowledge representations.
9 years of coding experience
Bachelor of Science (BS), Physics, Bachelor of Science (BS), Physics at 서울대학교 (Seoul National University)Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at 한국과학기술원(KAIST)
Stackoverflow
81reputation
8kreached
1answer
0questions
Github Skills (18)
gymnasium9
q-learning9
entropy8
reinforcement-learning8
cosmology7
simulation7
dynamics7
machine-learning7
deep-learning7
flexibility6
tensorflow6
python6
hardware6
pytorch6
automatic-differentiation4
Programming languages (2)
Github contributions (5)
kdkyum/neep
Mar 2020 - Jun 2022
Official PyTorch implementation of "Learning Entropy Production via Neural Networks" (PRL 2020).
Contributions:4 releases, 52 commits, 1 PR in 2 years 3 months
pytorchprlentropynonequilibrium-physicsdeep-learning
kdkyum/dotfiles
Mar 2017 - Jun 2020
Contributions:34 pushes, 1 branch in 3 years 3 months
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