Research profile
Bertil Schmidt is tenured full Professor of HPC at JGU Mainz. Prior to that, he was faculty member at Nanyang Technological University (Singapore) and UNSW (Australia). His research group works at the interface of computer science and life science. He has designed and implemented a variety of algorithms and (open-source) software tools focusing on the analysis of large-scale and complex bioinformatics datasets on numerous HPC platforms including GPUs and various supercomputers. For his pioneering research work on GPU computing for biological sequence analysis, he has received one of the first CUDA Academic Partnership awards, a CUDA Professor Partnership, and three IEEE Best
Paper Awards (IEEE ASAP 2009, IEEE ASAP 2015, IEEE HiPC 2020). His active collaboration with
Shandong University has led to various parallel methods for life science applications (such as Molecular Dynamics modeling) that can scale towards tens of thousands of nodes on world leading supercomputers. Recent work focuses on using big data technologies and AI methods for biological sequence analysis and bio-medical imaging data. He is PI/main-PI of RMAP TRR, NHR-SW, BINARY, EAI, TOPML, and MAINCE. He is also in the management/steering committee of the new interdisciplinary AI projects TOPML and MAINCE.
Biography
Positions held
Since 2011
Tenured Full Professor of High Performance Computing (W3), Institute of Computer Science, Johannes Gutenberg University Mainz, Germany
1999-2011
Associate Professor, School of Computer Engineering, Nanyang Technological University, Singapore
Education
1996-1999
PhD in Computer Science, Loughborough University, UK
1990-1995
Dipl.-Informatiker, Computer Science, Christian-Albrecht-Universität zu Kiel, Germany