Curriculum Vitae

A short version of my CV. For the full version please check out the PDF linked on the right.

General Information

Full Name Theresa Eimer
Date of Birth 17.11.1993
Languages English, German

Experience

  • 09.2022-02.2023
    Research Intern
    Meta AI London
    • Generalization through Natural Language in Reinforcement Learning
    • Hosted by Roberta Raileanu
  • 2020-now
    Scientific Researcher / Team Lead Reinforcement Learning
    Insititute of AI, Leibniz University Hannover
    • Researching Dynamic Configuration of RL algorithms for better performance and generalization
    • Supervised by Prof. Dr. Marius Lindauer

Education

  • 2020-2024
    Dr. rer. nat. (PhD)
    Leibniz University Hannover
    • Graded "summa cum laude" (highest distinction)
    • Thesis "Reinforcing Automated Machine Learning - Briding Reinforcement Learning and AutoML"
    • Supervised by Prof. Dr. Marius Lindauer
  • 2016-2019
    MSc. Computer Science
    Albert-Ludwig University Freiburg
    • Final Grade 1.7
    • Thesis "Improved Meta-Learning for Dynamic Algorithm Configuration" (Grade 1.0 - best possible grade)
    • Supervised by Prof. Dr. Frank Hutter
  • 2013-2016
    BSc. Computer Science
    University of Hamburg
    • Final Grade 1.5
    • Thesis "On Thue Numbers" (Grade 1.0 - best possible grade)
    • Supervised by Dr. Frank Heitmann

Community Involvement

  • 2024
    AutoRL Workshop @ ICML
    Organizer
    • Organizing the first AutoRL Workshop at ICML 2024
  • since 2023
    Computer Science Diversity Committee
    Deputy Member
    • Promoting diversity in the Computer Science faculty
  • 2022
    DAC4AutoML Competition
    Lead Organizer
    • Part of AutoML Conf 2022
    • Competition on Dynamic Configuration for Supervised Learning and Reinforcement Learning
  • 2022 & 2024
    AutoML Conf
    Diversity Chair

Selected Talks and Presentations

  • 5.2024
    Automating Reinforcement Learning - Hyperparameter & Beyond
    InstaDeep
    • Summarizing HPO in RL so far as well as future perspectives
    • Invited Talk - Recording
  • 9.2023
    Automating Reinforcement Learning
    Future of AI Summit
    • Invited by the Alexander von Humboldt foundation as one of 19 young researchers
    • Poster presentation on my vision for AutoRL
  • 6.2023
    Challenges for Hyperparameter Optimization in Reinforcement Learning
    AutoML Seminar Series
    • On understanding AutoRL through an AutoML Lens
    • Invited Talk - Slides
  • 5.2023
    Dynamic Algorithm Configuration
    AI Grid Science Slam
    • Science Communication Format for general audiences - 2nd place in audience voting
    • Invited Contribution - Video
  • 7.2022
    Dynamic Algorithm Configuration for AutoML
    KompAKI Seminar Series
    • DAC as an extension of common AutoML paradigms
    • Invited Talk - Slides