Machine Learning Techniques

Troels C. Petersen

Associate Professor

The Niels Bohr Institute, Experimental Particle Physics
Building: M og Q, 13-Mc-5
Blegdamsvej 17
2100 København Ø

E-mail: petersen @ nbi.ku.dk
Phone: +45 3532 5355Skype-nummer
Mobile: +45 2628 3739Skype-nummer

Troels research focuses on exploring the fundamental laws of nature and constituents of matter, and their influence on the Universe. His education and early research career has taken him from Copenhagen to Berkeley, Paris, Stanford, Sydney and Geneva. Troels Petersen is working on the ATLAS experiment at CERN, and has been a member of the ATLAS collaboration since 2004.

In 2007 he was awarded a CERN fellowship, and was part of the Large Hadron Collider (LHC) startup and first data taking.

In 2010 Troels received 10 million DKK from the Lundbeck Foundation to pursue research and searches for new particles at LHC. Part of the research led to a contribution to the 2012 discovery of the long sought Higgs particle, which prompted the Noble prize for Higgs and Englert the following year.

Troels has been teaching on statistics and data analysis since 2009, and runs the highly acclaimed course "Applied Statistics" at the Niels Bohr Institute. In addition, Troels teaches (and is an avid user of) Machine Learning, and has been using statistics and Machine Learning in particle physics, but also applied it to a range of other fields of research (in biophysics and medical sciences) as well as business cases (e.g. housing data).

Troels is the author or co-author of more than 1000 published papers and has supervised many master students, five PhD students and four PostDocs.

In 2015 Troels won the dissemination prize and in 2021 the teaching prize of KU's Faculty of Science. He is known to be an enthusiastic speaker at venues such as TEDxCopenhagen, the Big Bang Conference, and science festivals.