Supervisor: Prof. Jakob Foerster, BOLD Lab
Jarek Liesen's
👔 Curriculum Vitae
🎓
Education
2020
- 2024
Lab rotations:
- Exploratory data analysis of simultaneous population recordings in mice V1 and LM (Prof. Henning Sprekeler)
- Global explanations through approximate neural network inversion (Prof. Klaus-Robert Müller)
- Adversarial policies in safe reinforcement learning (Prof. Klaus Obermayer)
Thesis: Discovering Minimal Reinforcement Learning Environments, supervised by Prof. Henning Sprekeler
GPA: 1.0 (graduated as best in class)
2017
- 2020
Thesis: Meta-Interpretive Learning in Clingo, supervised by Prof. Torsten Schaub
GPA: 1.1 (with distinction, graduated as best in class)
💡
Experience
Mar 2023
- Oct 2023
TA for Models of Higher Brain Functions
Lecturer: Prof. Henning Sprekeler
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
Lecturer: Prof. Tobias Scheffer
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
Lecturer: Prof. Christoph Kreitz
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
🤝
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