About Me
I'm a computational physicists an research software engineer with a focus on high-performance
computing (HPC). As part of the National High-Performance
Computing Alliance (NHR), I
optimize - and help other people optimize - HPC codes and develop tools for monitoring and tuning
the (parallel-)performance of software.
In my research as a scientist, I develop and use a variety of novel methods and technologies
to gain insights into quantum systems. In particular, I've developed a quantum monte carlo
code (in Julia) to study metallic quantum
criticality, I've used machine learning to identify phase transitions
and non-Fermi liquid
physics, I've used the functional renormalization group to study the effect of
interactions in graphene, and I've used a (real) quantum computer to run parallel
quantum chemistry simulations.
I actively contribute to many free and open source software projects, mostly focused on
scientific computing and Julia. In particular, I am a
co-organizer of JuliaCon and, until recently, was
editor-in-chief of the Julia Proceedings.
As a freelancer, I offer consulting services and deliver workshops
at public and private institutions. (Feel free to reach out.)
Education
I obtained my PhD in theoretical physics in the Computational Condensed Matter Physics
group of Prof. Simon Trebst
at the University of Cologne. Previously, I worked with Prof. Peter Kopietz and Prof. Roser Valenti
at the Goethe University and the University of Florida. Fortunately, I also had the distinct pleasure
of conducting multi-month research stays at Stanford
University (Prof. Steve Kivelson), the University of
Chicago, and the Weizmann Institute of
Science (Prof. Erez Berg). Besides physics, I took various computer science courses at TU Darmstadt.
