Christoph Deil

Hi, I'm Christoph.

I'm product owner for the Predict team at HeidelbergCement working on predictive analytics, process optimisation and digital products for our cement and ready-mix concrete plants. Before changing to the product owner role in May 2020, I worked as a data scientist and data engineer on a tool for optimal production planning including the data pipelines and web app. You can see a 5 min summary on the data science work at HeidelbergCement that I've contributed to in a lightning talk from the Big Data BBQ in Mannheim on YouTube.

I'm co-organiser of PyData Heidelberg, contact me any time if you have any question or especially if you'd like to give a presentation or lightning talk at one of the upcoming PyData Südwest meetups.

I have a PhD in astrophysics and 10 years experience in data management and data analysis software development (first few years in C++, then mostly Python and PyData stack) within the international scientific collaborations for the H.E.S.S. and CTA gamma-ray telescope arrays.

You can contact me via, LinkedIn or Twitter.

The rest of this webpage summarises my work in academia. Someday I'll update this website to reflect my current projects.


I've mainly worked on codes for gamma-ray astronomy data analysis and modeling. First in C++ for a few years, and in recent years mostly in Python. I started and now co-lead the development of Gammapy, a prototype for the Cherenkov Telescope Array science tools. I've contributed to several other open source projects such as astropy, regions, astroplan, hips, iminuit or


Until recently, ground-based gamma-ray astronomy was done with private data and code, internal to the collaborations that built the telescopes. I started the gamma-astro-data-formats project to create an open data model and format for high-level gamma-ray astronomy data, and lead the task group in H.E.S.S. to export the data into this standard format, resulting in the H.E.S.S. first data release and the first reproducible multi-mission analysis of a gamma-ray source, the joint Crab paper.

I continue this effort to transition to open data and tools in gamma-ray astronomy through my work in H.E.S.S. and CTA, and by organising workshops that include the larger astronomical community: PyGamma15 and PyGamma19.


My scientific focus is the study of the population of cosmic accelerators in the Milky Way. I lead the analysis and modeling of the data from the H.E.S.S. Galactic plane survey, resulting in the first survey maps and source catalog in very high energy gamma-ray astronomy. I'm now continuing this work, by including data from the Fermi Gamma-Ray Space Telescope, and via simulations for the Galactic plane survey key science program of the Cherenkov Telescope Array.

Talks and Tutorials

I have given many talks about gamma-ray astronomy, as well as talks and tutorials on Python. Below a few examples where the materials are online. If you're looking for a speaker or teacher for Python, feel free to contact me.