
Hello, I’m Oliver Weißl, a Senior Data Scientist at NorCom and a PhD candidate at the Technical University of Munich (TUM). Previously, I was a researcher at fortiss GmbH. 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 Systems, by exploiting knowledge encoded in latent spaces. Testing plays a critical role across various domains to ensure that a system functions 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 more effectively. Other research interests include classical and population-based optimization, evolutionary computing, robotics, machine learning, and quantum computing.
workeducation
NorCom, Munich
Scaling RAG solutions from thousands to millions of files.
fortiss GmbH, Munich
Applied AI research in industry and public-sector projects; supervised Bachelor's and Master's projects on deep learning system testing.
Thesis: Machine Learning Decoder for Topological Codes in 3 Dimensions
My responsibilities were the development of Revolve2, a simulator geared towards evolutionary computing in the domain of robotics, and assisting in scientific projects.
If you have any questions or comments don’t hesitate to send me an email.