Dr. Stephan Hachinger
Team Lead Research Data Management at LRZ
Date of birth:
Gender:Work address:

05.02.1982
male
Leibniz-Rechenzentrum (LRZ)
der Bayerischen Akademie der Wissenschaften
Boltzmannstraße 185748 Garching
Telephone number: +49 (0) 89 35831 7830
E-mail address:
stephan.hachinger@lrz.de

Academic qualification2007 – 2011
Ph.D. project and thesis (Dr. rer. nat.) in Physics with highest distinction(“summa cum laude”) with Prof. Paolo A. Mazzali, Ph.D. and Prof. Dr. Wolfgang
Hillebrandt at Technical University München
2001 – 2007
Studies of Physics (Diplom) and thesis with Prof. Paolo A. Mazzali, Ph.D. andProf. Dr. Wolfgang Hillebrandt (Max Planck Institute for Astrophysics) at
Technical University München

Positions held
2018 –2014 –2012 – 20142011 – 2012

Honors2001 – 2007

Team Lead Research Data Management, Research Department (FOR), LRZ
Research Associate, Distributed Resources Group / Research Department, LRZ
Postdoctoral Researcher with Prof. Dr. Friedrich K. Röpke, Supernova/Stellar
Physics Theory Group, Universität Würzburg
Postdoctoral Researcher with Prof. Paolo A. Mazzali, Ph.D., Supernova Group,
Istituto Nazionale di Astrofisica Padova, Italy

5-year “scholarship for exceptionally gifted students”
of the State of Bavaria (Bayerisches Begabtenstipendium, 7000 € / yr)

Languages
German (native), English (fluent), Italian (very good)

Selected teaching, seminar and supervision activities
Teaching and seminar activities
2022
Digitaler Doktorandenworkshop Forschungsdatenmanagement (INDIGO Netzwerk)
2022
Einführung in das Forschungsdatenmanagement für Studierende derIngenieurwissenschaften (TUM) - Vorlesungstermin: "Research DataManagement in High-Performance Computing (HPC)"
2021
Data Steward Training (TUM) Session: "Welche Services zu Speicherung undArchivierung von Daten gibt es als TUM-Angehöriger" (mit TUM-Bibliothek)
2021
Digitaler Doktorandenworkshop Forschungsdatenmanagement (INDIGO Netzwerk)

2013
2006 – 2010

Teaching assistant (University of Würzburg, 2013), general relativity course
Teaching assistant (TU München, 2006 – 2010), physics lab courses

Supervision
2021 – 2022
2018
2013
2010

M. Schumann (bachelor student, with J. Munke, J. Schmidt & Prof. D. Kranzlmüller)
Q. Pamp (bachelor student, with T. Weber & Prof. D. Kranzlmüller)
C. Kleiner (bachelor student, with Prof. F. K. Röpke)Y. Nakada (internship student, with Prof. P. A. Mazzali)

Selected publications
Articles in peer-reviewed journals and book chapters
1. Hachinger, S. et al. (2022). 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). ISBN:978-3-030-78306-8.
2. Zhao, X., Marshall, J., Hachinger, S., Gerbig, C., Frey, M., Hase, F., and Chen, J. (2019).
Analysis of total column CO2 and CH4 measurements in Berlin with WRF-GHG. Atmospheric
Chemistry and Physics 19: 11279–11302.
3. Scionti, A. et al. (including Hachinger, S.) (2019). HPC, Cloud and big-data convergent
architectures: the LEXIS approach. In: Barolli, L., Hussain, F. K., Ikeda, M. (eds.): Complex,Intelligent, and Software Intensive Systems: Proceedings of the 13th International Conference
on Complex, Intelligent, and Software Intensive Systems (CISIS-2019). Advances inIntelligent Systems and Computing 993: 200–212.
4. Hachinger, S. et al. (2017). Type Ia supernovae with and without blueshifted narrow Na I D
lines - how different is their structure? Monthly Notices of the Royal Astronomical Society
471: 491–506.
5. Hachinger, S. et al. (2013). The UV/optical spectra of the Type Ia supernova SN 2010jn: abright supernova with outer layers rich in iron-group elements. Monthly Notices of the Royal
Astronomical Society 429: 2228–2248.
6. Hachinger, S., Mazzali, P.A., Taubenberger, S., Fink, M., Pakmor, R., Hillebrandt, W., andSeitenzahl, I.R. (2012). Spectral modelling of the "super-Chandrasekhar" Type Ia SN 2009dc:testing a 2-solar-mass white dwarf explosion model and alternatives. Monthly Notices of theRoyal Astronomical Society 427: 2057–2078.
7. Hachinger, S., Mazzali, P.A., Taubenberger, S., Hillebrandt, W., Nomoto, K. and Sauer, D.N.
(2012). How much H and He is "hidden" in SNe Ib/c? I. - low-mass objects. Monthly Noticesof the Royal Astronomical Society 422: 70–88.
Other publications and conference contributions
8. Batsaikhan, A., Weismüller, J., and Hachinger, S. (2019). Building an IT infrastructure for citizen
science research on climate change. In: International Symposium on Grids & Clouds 2019, 31stMarch - 5th April 2019, Academia Sinica, Taipei, Taiwan. Proceedings of Science 351: 032.
9. Hachinger, S., Meyer-Arnek, J., Harsch, C., Bittner, M., Frank, A., Heller, H., Vogel, N., andGiemsa, E. (2018). The Alpine Environmental Data Analysis Centre (AlpEnDAC.eu): cloudcomputing on demand, RDM and more. In: 20th EGU General Assembly, EGU 2018,
proceedings from the conference. Geophysical Research Abstracts 20: 14731.
10. Hachinger S., Nguyen H., Weber T., Weismüller J. (2017). Addressing knowledge and knowhow biases in the environmental sciences with modern data and compute services. In
Otjacques, B., Hitzelberger, P., Naumann, S., and Wohlgemuth, V. (eds.): EnviroInfo 2017.
From Science to Society: The Bridge provided by Environmental Informatics (ShakerVerlag: Düren): 155–162.