Danny Stoll
Doctoral Candidate
Freiburg im Breisgau, Baden-Württemberg, Germany
Summary
👤
Senior🎓
Top SchoolDanny Stoll is a doctoral candidate at the University of Freiburg with a decade of experience focused on AutoML, deep learning, neural architecture search, hyperparameter optimization, and meta-learning. Admitted directly into the engineering faculty's PhD track after a top-5% BSc in Computer Science, he combines rigorous academic grounding with hands-on research into joint architecture-and-hyperparameter search. His work targets practical automation of model and search design, bridging theoretical advances and reproducible experimentation. Based in Freiburg im Breisgau, he brings a persistent curiosity for automating ML workflows and a track record of sustained research activity since 2020.
10 years of coding experience
Bachelor of Science - BS, Computer Science, 1.2 (highest tracked bracket, at least top 5%), Bachelor of Science - BS, Computer Science, 1.2 (highest tracked bracket, at least top 5%) at Albert-Ludwigs-Universität Freiburg im Breisgau
Github Skills (31)
incremental-learning10
machine-learning10
hyperparameters10
hyperparameter-optimization10
deep-learning10
automl10
pipeline10
neural-architecture-search10
surrogate9
packaging8
benchmark8
architecture8
dependency-manager7
python7
package-manager6
Programming languages (1)
Github contributions (5)
automl/ICGen
Jun 2020 - Jan 2022
Contributions:13 commits, 10 pushes, 4 tags in 1 year 7 months
automl/neps
Jun 2021 - Jan 2023
Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.
Contributions:1 review, 460 commits, 2 PRs in 1 year 6 months
pipelinedeep-learningexpertsneural-architecture-searchneural-networks
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.