Scholar
Matthias Boehm
Google Scholar ID: jrPG2AUAAAAJ
Technische Universität Berlin
Citations & Impact
Citations
1,446
H-index
21
i10-index
31
Publications
20
Co-authors
97
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Involved in multiple projects such as Apache SystemDS (an open source ML system for the end-to-end data science lifecycle) and FONDA II (Foundations of Workflows for Large-Scale Scientific Data Analysis). Currently serving as PMC Chair for Apache SystemDS since 09/2020.
Research Experience
- From 2018 through 2022, he was a BMK-endowed professor for data management at Graz University of Technology, Austria. Prior to joining TU Graz in 2018, he was a research staff member at IBM Research - Almaden, CA, USA, with a major focus on compilation and runtime techniques for declarative, large-scale machine learning in Apache SystemML.
Education
- Received his Ph.D. from Dresden University of Technology, Germany in 2011 with a dissertation on cost-based optimization of integration flows.
Background
- Full professor for large-scale data engineering at Technische Universität Berlin, focusing on high-level, data science-centric abstractions as well as systems and tools to execute these tasks in an efficient and scalable manner. Before joining TU Berlin, he was a BMK-endowed professor for data management at Graz University of Technology, Austria, and a research area manager for data management at the co-located Know-Center GmbH.
Miscellany
- Leads the DAMS Lab (data management for data science laboratory), a cross-organizational research group uniting the chair for big data engineering at TU Berlin and external members from multiple universities and industry.
