I am a theoretical physicist with a background in quantum gravity, relativistic astrophysics, applied mathematics and computer science. My current research focus is on exotic computing approaches, such as analog computing, quantum computing or neuromorphic architectures.
Analog computing is a rediscovered branch of science which was beaten by digital (i.e. algorithmic/numeric) computing in the 1980s. In the dawn of Moore's law, this branch of classical computing percieves a revival. Based on the experience of programmable hardware (FPGAs), it is tangible to build large analog circuits to solve differential equations in a time- and energy-efficient way beyond digital computing. I am part of a German-based team which tries to develop a prototypical analog computer on a chip within the next few years.
There is a rich scientific landscape waiting to be discovered all around this exotic branch of computer science and intersection between electrical engineering, computational science and applied mathematics. Many concepts of numerical mathematics can be transfered and connections to other contemporary attempts to computing, namely quantum computing and artificial intelligence, are all along the way. It is an exciting time where analog circuits can make a radical difference in the computational accessibility of the largest problems in the world.
Here are a few recent publications in the context of analog computing:
As a theoretical physicist in particle physics, my research interest is on the smallest scales. This is why I started my studies on understanding quarks (and their dynamics, described by a Quantum Field Theory called Quantum Chromodynamics) and later switched to quantum black holes, which are many orders of magnitude smaller. In this exotic field of high energy physics, I wrote a master thesis about Ultraviolet improved black holes. Fascinated by Einstein Field Theory, I switched my focus on numerical relativity and gravitational waves. In 2019 I graduated with a PhD Thesis on high-order methods in fully general-relativistic hydrodynamics and magnetohydrodynamics. This project was carried out at Goethe-Universität Frankfurt within a Horizon2020 collaboration with the Universities of Trento and Durham. Within this project, called ExaHyPE, I studied numerical methods for solving hyperbolic partial differential equations on future exascale architectures.
Between 2009 and 2019, I was actively working in didactics and engineering of e-Learning ressources and mediatization attempts. Cumulated, I raised more then 500kEUR for setting up large teams dedicated to creating content, videos and digital tools. We had several offices and own computer and server infrastructure. Here's a bit of project description.
For publication listings, see also Inspire-HEP, NASA-ADS, DBLP or ArXiV. I have a ResearchGate profile and my ORCID is 0000-0003-2303-7765. The mathematics genealogy project has an entry about me, als DNB has one. In the past, I wrote a couple of outreach press/blog posts.