Torsten Hoefler

Torsten Hoefler
Alma materIndiana University
TU Chemnitz
Awards
Scientific career
FieldsHigh-Performance Computing
Computer Science
InstitutionsETH Zurich
Swiss National Supercomputing Centre
Microsoft
Cray
University of Illinois at Urbana-Champaign
Indiana University
Doctoral advisorAndrew Lumsdaine

Torsten Hoefler is a Professor of Computer Science at ETH Zurich and the Chief Architect for Machine Learning at the Swiss National Supercomputing Centre. Previously, he led the Advanced Application and User Support team at the Blue Waters Directorate of the National Center for Supercomputing Applications, and held an adjunct professor position at the Computer Science Department at the University of Illinois at Urbana Champaign. His expertise lies in large-scale parallel computing and high-performance computing systems. He focuses on applications in large-scale artificial intelligence as well as climate sciences.

Hoefler is an IEEE Fellow, ACM Fellow, and a member of the European Academy of Sciences Academia Europaea. He is also a Fellow of the European Laboratory for Learning and Intelligent Systems (ELLIS). His Erdos number is two.

He has been invited to present several keynote lectures at major international conferences such as ACM's Federated Computing Research Conference, IEEE Cluster, HPC Asia, Supercomputing Asia, or the International Symposium on Distributed Computing.