Daniel Paleka
Doctoral Candidate
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolDaniel Paleka is a doctoral candidate at ETH Zürich with eight years of software engineering and research experience bridging math-heavy theory and practical systems. He combines deep mathematical pedigree—three IMO Silver medals—with hands-on C++ development and applied ML work using Python, PyTorch, OpenCV and scikit-learn. His research has rapidly impacted the field (400+ citations, h-index 8 in two years) with publications at NeurIPS/ICML/ICLR and a second author spot on an ICML Best Paper Award. Past internships span video compression, camera pose estimation and large-scale data pipelines (Kafka, SQL Server), showing he moves comfortably from low-level systems to neural network research. He has applied expertise in graph learning, optimization and steganography in LLMs, and contributes to pedagogy as a recurring TA for ETH’s Large Language Models course. Based in Zurich, he uniquely pairs competition-honed problem solving with reproducible research and production-focused engineering.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science (BSc), Mathematics, Bachelor of Science (BSc), Mathematics at University of Zagreb / Sveučilište u ZagrebuDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at ETH Zürich
Stackoverflow
159reputation
4kreached
3answers
5questions
Github Skills (127)
textbook10
markdown10
image-url10
translation10
argparse9
audio9
science9
python9
language-model9
computer-science9
image9
pytorch9
algorithms9
machine-learning9
data-structures9
Programming languages (8)
Github contributions (5)
ethz-spylab/llm_lab
Jun 2023 - Apr 2025
Contributions:2 PRs, 7 pushes in 1 year 10 months
dpaleka/awesome-side-channels
Apr 2025 - Apr 2026
Contributions:1 PR, 5 pushes, 1 branch in 1 year
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