Hi there! My name is Dominik Dold.
I did my PhD in Physics at Heidelberg University, with a focus on brain-inspired computing and computational neuroscience.
During my professional career, I have developed an interest for many topics ranging from physics and statistics to neuroscience up to deep learning, machine learning and data science.
In my thesis, I focused on investigating biological plausible implementations of deep learning algorithms and how these might be realized in the brain. Furthermore, I worked on models of probabilistic spike-based coding and their application on low-energy neuromorphic hardware.
Recently, I joined the Siemens AI lab to research how neuromorphic systems can be utilized in industrial applications.