Nils Kober
Doctoral Researcher at The University of Freiburg
Freiburg im Breisgau, Baden-Württemberg, Germany
Summary
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Senior🎓
Top SchoolNils Kober is a doctoral researcher at the University of Freiburg who blends eleven years of practical experience with deep mathematical and computer science training to advance transfer learning and nonparametric, shape-constrained estimation. His work in the Collaborative Research Center 1597 Small Data focuses on statistically principled methods for leveraging auxiliary information in low-data regimes, building on prior research integrating priors into Neural Pipeline Search. Comfortable moving between theory and applied engineering, he has contributed to railway-tunnel track detection and gauge estimation in industry and implemented prior/knowledge integration for AutoML tooling. Fluent in both rigorous mathematics and hands-on software development, Nils combines a researcher’s curiosity with an engineer’s attention to reproducible code and real-world measurement data.
11 years of coding experience
4 years of employment as a software developer
Doctoral Candidate, Mathematics, Doctoral Candidate, Mathematics at The University of FreiburgExchange student (ERASMUS+), Mathematics, Exchange student (ERASMUS+), Mathematics at École normale supérieure de LyonAbitur, Abitur at Montessori Zentrum ANGELL Freiburg
English, German, French
Github Skills (7)
neural-architecture-search9
automl8
hyperparameter-optimization7
deep-learning7
slurm5
python4
hyperparameters1
Programming languages (1)
Github contributions (5)
nilskober/mf-prior-bench
Feb 2023 - Jul 2023
This fork uses jahsbench 1.0.2. (on newer versions in the future) instead of 1.0.0. to solve numpy version conflicts with other packages. Also it allows to be used with python <3.11 instead of <=3.10.
Contributions:7 pushes in 5 months
N1ckK/Numerik-Praktische-Uebung
Jun 2020 - Jun 2020
Contributions:20 pushes in 6 days
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