Philipp Eller

Neutrinos are the most abundant constituents of matter in our universe, and at the same time the least well known. With large scale experiments, such as the IceCube Neutrino Observatory at the South Pole, we collect data to better understand these elusive particles, and to uncover long standing mysteries. With the usage of cutting edge technology and methods, such as modem machine learning aided data science, I want to extract as much knowledge out of our data as possible.

As a scientist I am working mostly on, and am interested in:

• Neutrino physics, in particular oscillations
• Statistical and computational methods
• Machine learning and data science

The projects page describes some of my current and recent works.

I am a:

• Member of the IceCube collaboration and convener of oscillation physics
• PI in the Collaborative Research Center 1258
• Member of the PUNCH4NFDI consortium
• Fellow of the Origins Data Science Lab