Theresa Eimer

Team Lead Reinforcement Learning at Leibniz Universität Hannover

Hanover, Lower Saxony, Germany
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Summary

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Theresa 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.
code11 years of coding experience
job2 years of employment as a software developer
bookMaster of Science - MS Informatik, Master of Science - MS Informatik at The University of Freiburg
bookBachelor of Science (B.Sc.) Informatik, Bachelor of Science (B.Sc.) Informatik at University of Hamburg
bookInformatik, Informatik at Karlstad University
languagesEnglish, German, French, Swedish
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Github Skills (25)

algorithm10
benchmark10
benchmarking10
reinforcement-learning-environments10
reinforcement-learning10
bayesian10
automl10
hyperparameter-tuning10
automated-machine-learning10
generalization10
random-forest10
reachability9
hyperparameters9
hyperparameter-optimization9
automata9

Programming languages (7)

JavaTeXJavaScriptPDDLHTMLJupyter NotebookPython

Github contributions (5)

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automl/SPaCE

Feb 2021 - Feb 2021

Contributions:8 commits, 3 pushes, 1 branch in 1 day
Advanced RL Course at LUH
Contributions:52 PRs, 81 pushes, 2 branches in 9 months
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