Jarek Liesen's

๐Ÿ‘” Curriculum Vitae

๐ŸŽ“

Education

Since 2024
Supervisor: Prof. Jakob Foerster
Project title: Integrating LLMs with Reinforcement Learning agents
2020 - 2024
Lab rotations:
Thesis: Discovering Minimal Reinforcement Learning Environments, supervised by Prof. Henning Sprekeler
GPA: 1.0
2017 - 2020
Thesis: Meta-Interpretive Learning in Clingo, supervised by Prof. Torsten Schaub
GPA: 1.1 (with distinction, graduated as best in class)
๐Ÿ’ก

Experience

Mar 2023 - Oct 2023
TA for Models of Higher Brain Functions
Topics: Computational models of visual processing, attention, multisensory integration, decision making, behavioral learning, and motor control
Oct 2019 - Oct 2020
TA for Data Science, Intelligent Data Analysis, and Machine Learning
Topics: Data visualization and analysis, linear models, neural networks, Bayesian learning, respective implementation in Python
Oct 2018 - Oct 2019
TA for Theoretical Computer Science I+II
Topics: Automata theory, formal languages, complexity theory
Jul 2018 - Jul 2019
Front- and Backend Developer
Tasks: Developed a marketable data visualization application for analyzing performance data of the Echoring network protocol
๐Ÿค

Volunteering

Since 2022
Founding and Board Member of BLISS
About: BLISS is a student-led non-profit dedicated to to connecting students and young professionals with machine learning research and industry applications.
Tasks: Organized weekly high-profile guest talks and community events, moderated a weekly paper reading group, organized machine learning hackathons