André Biedenkapp
Forscher (Postdoktorand) at Albert-Ludwigs-Universität Freiburg
Freiburg im Breisgau, Baden-Württemberg, Germany
Summary
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Rockstar🎓
Top SchoolAndré Biedenkapp is a postdoctoral researcher and head of the Reinforcement Learning subgroup at the University of Freiburg with 11 years of experience bridging academic research and hands-on software development. He holds a strong computer science background (MSc 1.2) and completed a PhD-level trajectory at Albert-Ludwigs-Universität Freiburg, where he progressed from doctoral researcher to leading a research team. André combines deep RL expertise with practical engineering, contributing to open-source tooling such as SMAC3 by improving core test scenarios for Bayesian optimization workflows. His work emphasizes reproducible, well-tested research software that scales experimental rigor in ML projects. Based in Freiburg, he is equally comfortable designing experiments and diving into back-end Python development to harden research code for broader use.
11 years of coding experience
Master of Science - MS, Computer Science, 1.2, Master of Science - MS, Computer Science, 1.2 at Albert-Ludwigs-Universität Freiburg im Breisgau
German, English
Github Skills (8)
unit-testing10
python10
optimization9
automated-machine-learning9
optimisation9
bayesian9
test-driven-design9
hyperparameter-optimization9
Programming languages (7)
Github contributions (5)
automl/SMAC3
Mar 2016 - Jul 2021
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 release, 11 reviews, 137 commits in 5 years 4 months
Contributions summary:André contributed to test scenarios for the SMAC3 package, specifically focusing on testing functionalities related to scenarios. The user implemented new test scenarios, including testing scenario dictionaries and string scenarios, and also modified existing tests. The changes involved modifications in python scripts, indicating a focus on the core functionality of the package.
bayesian-optimizationhyperparameter-tuninghyperparameterautomated-machine-learninggaussian-process
automl/TabularTempoRL
Jun 2020 - Jun 2020
Contributions:2 commits in 1 day
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