Philipp Arras

Portrait

Research

I did my PhD and a postdoc in the intersection of computational statistics and physics. At the Max-Planck Institute for Astrophysics, I applied Bayesian statistics to imaging algorithms for radio telescopes. I aimed to squeeze out all information present in radio data sets in order to arrive at the highest resolution possible together with uncertainty quantification. To this end, I developed theoretical models for inference algorithms and tailor them for the unification of calibration and imaging, multi-spectral imaging, polarization imaging, data fusion with single dish data and Very Long Baseline Interferometry (VLBI).

These ideas are condensed into various software projects: NIFTy (a Python library for Bayesian inference of fields), resolve (my radio imaging library), vlbi_resolve (the same thing for dynamic VLBI imaging) and ducc (which includes a non-uniform FFT specialized for radio interferometry). I hold a PhD in physics and was part of Rüdiger Westermann’s group (TU Munich) and Torsten Enßlin’s information field theory group (MPA Garching).

During my masters at Heidelberg University I worked on String Theory, Quantum Field Theory and pure maths.

Currently, I work for at Bain & Company as a strategy consultant. If you would like to discuss anything related to resolve, nifty, information field theory in general or also the life of a physicist at a MBB consulting company, feel free to reach out to me.

Papers and Publications

Papers

See also: arXiv, Google Scholar

Theses

Misc

Software

Talks

Invited Talks

Contributed Conference Talks

Workshops (co-)organized by me

Attended workshops

Teaching

Co-supervised master students

More resources

Misc

Contact

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