About

Hello, I’m Oliver Weißl, a researcher at fortiss GmbH and a PhD candidate at the Technical University of Munich (TUM). My academic journey began with a Bachelor’s degree in Artificial Intelligence from Vrije Universiteit (VU) Amsterdam, followed by a Master’s in Information Studies at the University of Amsterdam (UvA).

My research focuses on testing of Deep Learning (DL) Systems, by exploiting knowledge encoded in latent spaces. Testing plays a critical role across various domains to ensure that a systems function as intended. However, the complexity of DL models makes effective testing both more challenging and more essential. Currently, I am exploring how latent representations in generative models can be used to test deep neural networks (DNNs) more effectively.

Other research interests include classical and population-based optimization, evolutionary computing, robotics, machine learning, and quantum computing.

My work experiences are:

• Researcher @ fortiss GmbH [09.2024 - now)

• Research Assistant @ CI Group - VU Amsterdam [09.2023 - 04.2024]

  • My responibilites were development of Revolve2, a simulator geared towards evolutionary computing in the domain of robotics.
  • Assisting in scientific projects.

• Teaching Assistant @ VU Amsterdam [04.2022 - 07.2024]

  • Courses I have been teaching and assisting in:

    • Project Collective Intelligence
    • Human-Computer Interaction
    • Knowledge & Data
    • Machine Learning
    • Computational Intelligence

Get in contact

If you have any questions or comments don’t hesitate to send me an email.