Theresa Eimer
Team Lead Reinforcement Learning at Leibniz Universität Hannover
Hanover, Lower Saxony, Germany
Summary
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Rockstar🎓
Top SchoolTheresa Eimer is a Reinforcement Learning team lead at the Institute of AI, Leibniz University Hannover, with 11 years of experience bridging research and applied AutoML/AutoRL. She completed a summa cum laude PhD on integrating reinforcement learning with automated machine learning and now leads a team advancing AutoRL and differentiable architecture/component search (DAC). Her background spans academic teaching, a research internship at Meta on curriculum learning for NLP+RL, and cross-disciplinary training from molecular life sciences to computer science. Theresa combines deep theoretical expertise with a practical bent for making ML systems work in real settings, and she’s known for translating AutoML ideas into usable research prototypes. Based in Hanover, she remains active in the AutoML community and focuses on scaling RL solutions beyond lab benchmarks.
11 years of coding experience
2 years of employment as a software developer
Master of Science - MS Informatik, Master of Science - MS Informatik at The University of FreiburgBachelor of Science (B.Sc.) Informatik, Bachelor of Science (B.Sc.) Informatik at University of HamburgInformatik, Informatik at Karlstad University
English, German, French, Swedish
Github Skills (46)
benchmark10
reachability10
termination10
benchmarking10
reinforcement-learning10
hyperparameters10
bayesian10
hyperparameter-tuning10
automated-machine-learning10
automata10
generalization10
random-forest10
optuna10
tla9
reinforcement-learning-environments9
Programming languages (6)
Github contributions (5)
automl/dac4automlcomp
Feb 2022 - Apr 2022
Contributions:46 commits, 26 pushes, 1 branch in 1 month
automl/SPaCE
Feb 2021 - Feb 2021
Contributions:8 commits, 3 pushes, 1 branch in 1 day
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