Manuel Brack
Machine Learning Group, Computer Science Department, TU Darmstadt. Hochschulstrasse 1, Room S1|03 076, 64289 Darmstadt, Germany
brack (at) cs (dot) tu-darmstadt (dot) de

Mission. My research is centred around the risks and promises of large ML models for human-centered AI. I investigate how to leverage the capabilities of these models’ for the best while accounting for and mitigating the issues arising from large-scale training. Latest advances in deep learning have been driven by highly data-driven, relying on billion-sized datasets randomly scraped from the internet. In my research I investigate what models actually learn during pre-training and how to measure and utilize the model's representations. With the goal of improving how we as humans interact with AI systems, making the AI align with the behavior us humans expect from the system through direct interaction.

Open Thesis/Hiwi. We work with a variety of deep learning models and architectures with our recent efforts being focussed on large-scale multimodal models such as Vision-Language models or generative diffusion models. We have several ideas related on investigating the underlying capabilities learned during large-scale pre-training, as well as related problems and possible mitigation strategies. We offer Hiwi positions both paid and for CP, and also Master Theses. Experience in deep learning and specifically in python and PyTorch is advantageous. If you have ideas yourself I'm also happy to discuss them. Please feel free to contact me in case of interest. Note: thesis proposal.

2022 - now: Ph.D. student at the Machine Learning Lab, CS Department, TU Darmstadt, Germany.
2020 - 2022: M.Sc. (with honors) in computer science from TU Darmstadt, Germany.
2016 - 2020: B.Sc. in computer science from TU Darmstadt, Germany.


Publications can be found at Google Scholar, DBLP, SemanticScholar