Torsten Hoefler
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 has been invited to present several keynote lectures at major international conferences such as ACM's Federated Computing Research Conference, IEEE Cluster, HPC Asia, or the International Symposium on Distributed Computing. Career 
Hoefler received his Diplom in Computer Science from TU Chemnitz where he received the best student award in 2005. He worked on high-performance computing systems from the very beginning of his career. He continued his studies at Indiana University, the home of Open MPI, under the guidance of Prof. Andrew Lumsdaine. He received his PhD in Computer Science in 2008 from Indiana University and was subsequently honored with the Young Alumni Award. He continued his work on the Message Passing Interface standard as a key member of the MPI Forum responsible for the chapters on Collective Communication and Process Topologies as well as co-authoring the chapter on One-Sided Communications. In 2010, he joined the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign (UIUC). As lead for application performance analysis and support, he supported the design and deployment of the Blue Waters Supercomputer. He also held a position as adjunct professor at UIUC’s Computer Science department. He accepted a position as assistant professor at ETH Zurich in 2011, where he received tenure in 2017, and is full professor from 2020. Hoefler has held various visiting researcher positions at French Alternative Energies and Atomic Energy Commission in France, CINECA in Italy, as well as Argonne National Laboratory, Sandia National Laboratory, and Microsoft in the United States. As a consultant, he supported Cray Inc. in the area of high-performance networking and Microsoft Corporation in the areas of quantum computing and large-scale artificial intelligence systems. He spent his sabbatical in 2019 at Microsoft helping to establish various AI supercomputing efforts. Hoefler has been a member of the ACM SIGHPC executive committee since its founding in 2011. He was elected IEEE Fellow for “contributions to large-scale parallel processing systems and supercomputers”, ACM Fellow for “foundational contributions to High-Performance Computing and the application of HPC techniques to machine learning”, and he received the IEEE Sidney Fernbach Award in 2022 for “application-aware design of HPC algorithms, systems and architectures, and transformative impact on scientific computing and industry”. Hoefler received the inaugural Jack Dongarra award at ISC High Performance Conference in 2023. Awards and honors
2023 

 ACM Fellow, class of 2022
 Jack Dongarra Early Career Award

2022 

 IEEE CS Sidney Fernbach Award
 Luddy Distinguished Alumni Award
 IEEE Fellow, class of 2021

2021

 HPCWire "People to Watch"

2020

 ERC Consolidator Grant
 BenchCouncil Rising Star Award

2019

 ACM Gordon Bell Prize
 IEEE TCSC Award for Excellence in Scalable Computing (MCR)

2015

 Latsis Prize of ETH Zürich

 ERC Starting Grant

2014

 Young Alumni Award, Indiana University School of Informatics

2013

 IEEE TCSC Young Achievers in Scalable Computing

 IBM Faculty Award

2012

 SIAM SIAG/SC Junior Scientist Prize

References 

Year of birth missing (living people)
Living people
Fellows of the Association for Computing Machinery
Fellow Members of the IEEE
Faculty