About me

Hi there! My name is Dominik Dold. I am currently doing 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. Currently, my work is focused on investigating biological plausible implementations of deep learning algorithms and how these might be realized in the brain. Furthermore, I work on models of probabilistic spike-based coding and their application on low-energy neuromorphic hardware.

Interests: machine & deep learning, AI, computational neuroscience, statistics & bayesian inference, physics

Hobbies: piano, guitar, bouldering, reading, traveling, hiking, games & movies

Some highlights

19.12.2019: Don't miss this nice featured article "Order from chaos, chaos from order" by the Human Brain Project about the work of me and my colleagues.

1.11.2019: You can spot me on YouTube in this beautiful report by Bloomberg about brain computing!

28.10.2019: Together with two colleagues, I won the first prize at the 2019 International Collegiate Competition for Brain-inspired Computing (ICCBC 2019) in China with our submission "Why spikes? Exploring spike-based Bayesian inference for accelerated neuronal substrates"!

28.02.2019: I had the honor of presenting part of my work at this year's Cosyne conference in Lisbon as a talk!