Portrait image of Tobias Golling

Tobias main expertise is particle physics, working on the ATLAS experiment at CERN’s LHC.
Tobias focuses on novel solutions machine learning promises to offer for open question in our field.  
His interests include fast simulation techniques using generative models, anomaly detection for physics discoveries, and fast track reconstruction using similarity hashing and metric learning.  
Tobias is interested in building effective and enriching collaborations between the two communities Physics & AI.

AMLD EPFL 2021 / Speakers

Pushmeet Kohli

Head of Research (AI for Science, Robustness and Reliability), DeepMind

Effy Vayena

Professor, ETH Zurich, Institute of Translational Medicine

Caroline Buckee

Associate Professor, Harvard TH Chan School of Public Health

Marc Grau Leguia

Post-doctoral Fellow, E-lab

Dongjiao Ge

Research Associate, University of Oxford

Jean-Sebastien Brouillon

PhD Candidate, EPFL

AMLD / Global partners