Dr. Stephan Hachinger
Team Lead Research Data Management
Teamleiter Forschungsdatenmanagement
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Leibniz Supercomputing Centre (LRZ)
of the Bavarian Academy of Sciences and Humanities (BAdW)
Research Unit / Forschung
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Address: |
Stephan Hachinger
Leibniz-Rechenzentrum
Boltzmannstr. 1
85748 Garching b. M nchen
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Projects and collaborations
At LRZ, the Research Data Management (FDM/RDM) team is working with local and international collaborators mainly on projects focused on FAIR RDM, often immersed in a context of environmental sciences, high-performance computing and IT infrastructure.
Current main projects my team and I are involved in:
- CRC/TRR 419 (Transregio "Simulation-Based Learning in Higher Education: Advancing Research on Process Diagnostics and Personalised Interventions" (SHARP), DFG)
- One of three subproject PIs for the IT-Infrastructure subproject INF, which is on ...
- ... enabling and automating AI for the TRR research (TUM/LMU parts) and ...
- ... enabling performant and versatile video streaming and FAIR resaerch data recording in a setting of real-time simulated situations (simulations in educational science).
- CLARA (Center for Artificial Intelligence and Quantum Computing in System Brain Research, Horizon Europe, GA No. 101136607)
- Co-lead of WP5, where we - together with IT4Innovations, set up multi-location data and workflow management integrating top-level Quantum Computing, GPU/AI and HPC ressources within the CLARA testbed. In this, we leverage experience from LEXIS (see below).
- Lead of Task 2.3, tackling the organisatorial part of data management, including data management plan(ning).
- CRC/TRR 356 (Transregio "Genetic diversity shaping biotic interactions of plants (PlantMicrobe)", DFG)
- One of three subproject PIs for the IT-Infrastructure subproject I01, which is on ...
- ... enabling FAIR data in a huge collaboration with biologists by ...
- ... setting up a RDM system for data analysis in *omics, imaging and beyond.
- NFDI4Earth (NFDI Consortium Earth System Sciences, DFG/Bund-Länder)
- InHPC-DE Extension Proposal (Integration der
nationalen Höchstleistungsrechenzentren Deutschlands, BMBF)
- Organising metadata management activities in AP2 (Datenmanagement) in collaboration with partners.
- Organising respective LRZ activities.
- LTDS (Let the Data Sing), LRZ-internal project to set up RDM service components, leveraging the experience from all our collaboration projects. Creating and maintaining the LRZ FAIR Data Portal (service prototype) to make datsets from our (supercomputing and heavily data-producing) systems FAIR.
- Definition of requirements and strategy to meet them.
- Technical co-management and administrative management of project.
First-author (peer-reviewed) publications available online:
- Hachinger S., Schuller B., Wellmann A., Scheiner F., Munke J., Kushnarenko V., Apweiler S., Boenisch T.: FAIR Data at Germany's Largest Supercomputing Centres. A Building block for the NFDI. In: Sure-Vetter Y. and Groth P. (eds.): 2nd Conference on Research Data Infrastructure (CoRDI), Aachen, Germany, 2025, Proc Conf Res Data Infrastr, 2, 164
- Hachinger S. et al.: Leveraging High-Performance Computing and Cloud Computing with Unified Big-Data Workflows: The LEXIS Project. In: Curry E., Auer S., Berre A.J., Metzger A., Perez M.S., and Zillner S. (eds.): Technologies and Applications for Big Data Value, Springer, Cham, 2022, pp. 159-180
- Hachinger S. et al.: HPC-Cloud-Big Data Convergent Architectures and Research Data Management: The LEXIS Approach. In: Aida, K., et al. (eds.): Challenges in High Performance Data Analytics: Combining Approaches in HPC, HTC, Big Data and AI, International Symposium on Grids & Clouds 2021 (ISGC 2021), 2021, Proceedings of Science, 378, 004
Other selected (peer-reviewed) publications:
- Pfalzner S., Hachinger S., Zjupa J., Cielo S., Wagner F.W., Brüggen M., Hagemeier A.: Towards FAIR astrophysical simulations. 2026, Front. Astron. Space Sci., 13, 1760522
- Hayek M. et al. (including Hachinger, S.): Data management for distributed computational workflows: An iRODS-based setup and its performance. 2026, PLOS ONE 21(1), e0340757
- Arnold E. et al. (including Hachinger, S.): RDMUC: Various Approaches to Research Data Repositories in Munich. 2004, ABI Technik, 44(1), 28
Projects I have been involved in:
- EXA4MIND (EXtreme Analytics for MINing Data spaces, Horizon Europe, GA No. 101092944)
- Science and Co-Design Manager, helping with:
- co-design of a set of services/tools to analyse and mine Extreme Data at Europe's strongest supercopmuting centres,
- bridging the gaps between the "database world", the "supercomputing world" and the "data spaces & FAIR data world" (European Data Spaces, EUDAT, EOSC), and
- enabling efficient data analytics and automatised Big Data workflows, leveraging the experience from LEXIS (see below).
- Helping with LRZ contributions, in particular on the data management side.
- OpenWebSearch.eu (Piloting a Cooperative Open Web Search Infrastructure to Support Europe's Digital Sovereignty, Horizon Europe, GA No. 101070014)
- Helping to organise data and workflow management, leveraging experience from LEXIS (see below).
- Helping to organise infrastructure contributions of LRZ to the project.
- LEXIS (Large Scale Execution for Industry and Society, EU H2020 Grant #825532 - creation of the LEXIS platform)
- Lead of Work Package 3 (LEXIS Data System) - development of LEXIS's approach to distributed data management.
- Coordination of LRZ activities in LEXIS.
- AlpEnDAC and BioClis (Alpine Environmental Data Analysis Centre / Virtual Alpine Observatory, Bio-Climatic Information System)
- Computing on Demand (CoD): Simulations (particle transport, etc. on the LRZ Compute Cloud)
as a "on-click" service in the AlpEnDAC portal.
- Design and maintenance of the AlpEnDAC software stack on the LRZ Compute Cloud,
including optimisation/parallelisation of the simulation codes used for CoD.
- Set-up of semi-operational simulation workflows of weather and air-mass transport (air quality) in the context of the BioClis project and AlpEnDAC.
- Concept and maintenance of the AlpEnDAC iRODS system for distributed data/metadata management within the AlpEnDAC.
- Consulting and dissemination, conferences, co-design of follow-up projects.
- ViWA (Virtual Water Values)
- Data Management for ViWA.
- Porting of the PROMET land-use/hydrology model (Mauser & Bach 2009) to massively parallel LRZ systems.
- Optimisation of PROMET for LRZ systems (e.g. for MPI-parallel runs).
- COMPAT (Computing Patterns for High Performance Multiscale Computing)
- Maintenance of grid-computing infrastructure.
- Support with LRZ systems.
- VERCE (Virtual Earthquake and Seismology Research Community in Europe)
- Monitoring and maintenance of grid-computing infrastructure.
- Support with tutorials.
Teams at LRZ:
- RDM Team (Research Data Management Team, within LRZ's Research Department) - coordinated by me
- Harmonisation of RDM efforts (AlpEnDAC, GeRDI, ...) LRZ is involved in together with colleagues.
- Dissemination, consulting, proposal writing, competence building.
- Environmental Computing Team (within LRZ's Research Department)
- Project activities (AlpEnDAC, BioClis, ViWA, etc.) - coordination with colleagues.
- Dissemination and proposal writing.
- Application Labs (AstroLab, GeoLab)
- Helping with customer support on application porting/optimisation.
- Helping with organisational contributions.
Important further collaborations of mine:
A blast from the past: my research in astrophysics
I have worked on exploding stars (supernovae, SNe) for a couple of years - more specifically, on transport phenomena of the emergent radiation:
- Type I supernova radiative transfer simulations
- Type Ia supernovae: analysis of the ejecta (density profile/abundances) from observed spectra. This gives hints on how these SNe explode, and what the progenitor stars are.
- Type Ib/Ic/IIb supernovae: analysis of the H/He envelope from observed spectra - determination of H and He masses and of the outer density profile.
- Radiative transfer / NLTE plasma state solvers which you need for these.
Here you can have a look at some of that work using the NASA Astrophysics Data System:
- Hachinger S. et al.: Type Ia supernovae with and without blueshifted narrow Na I D lines -
how different is their structure?, 2017, MNRAS, 471, 491
- Hachinger S. et al.: The UV/optical spectra of the Type Ia supernova SN 2010jn: a bright
supernova with outer layers rich in iron-group elements, 2013, MNRAS, 429, 2228
- Hachinger S., Mazzali P. A., Taubenberger S., Fink M., Pakmor R., Hillebrandt W., Seitenzahl, I. R.: Spectral modelling of the "super-Chandrasekhar" Type Ia SN 2009dc: testing a 2-solar-mass white dwarf explosion model and alternatives, 2012, MNRAS, 427, 2057
- Hachinger S. et al.: How much H and He is "hidden" in SNe Ib/c? I. - low-mass objects,
2012, MNRAS, 422, 70
- Hachinger S., Mazzali P. A., Taubenberger S., Pakmor R., Hillebrandt W.: Spectral analysis
of the 91bg-like Type Ia SN 2005bl: low luminosity, low velocities, incomplete burning,
2009, MNRAS, 399, 1238
- Hachinger S., Mazzali P. A., Tanaka M., Hillebrandt W., Benetti S.: Spectral luminosity indicators in Type Ia supernovae. Understanding the R(Si II) line-strength ratio and beyond, 2008, MNRAS, 389, 1087
- Hachinger S., Mazzali P. A., Benetti S.: Exploring the spectroscopic diversity of
Type Ia supernovae, 2006, MNRAS, 370, 299
Legal notice
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The contents of this webspace are administred by me (with me taking the responsibility) and do not necessarily reflect opinions of LRZ.