Research interest
Management of Computational Models
In-silico simulation of biological systems has become a standard tool in the life sciences. Consequently, the number and complexity of computational models describing biological systems is increasing, which entails numerous organisational challenges.
I am developing tools and methods to improve the management of computational models, including:
- Versioning, Comparison, and Merging of models
- Data Integration and Tool Interoperability
- Dissemination of Reproducible Research Results
- Organisation and Representation of Knowledge
Mining, Analysing, and Presenting Complex Data
Data is supposed to be the oil of the 21st century. Collecting the data may be difficult, but integrating, processing, and understanding it is significantly harder.
I am ready to be challenged by convoluted data and enjoy for example:
- Mining, Converting, and Massaging Data
- Finding Patterns and Artifacts
- Visualising and Presenting Complex Structures
- Communicating facts, structures, and results to experts and the general public
Background
2018 - present |
PostDoc at the SBI University of Rostock, Rostock/Germany |
2016 - present |
Head of IT at the SBI (infrastructure, acquisition, maintenance, innovation etc) |
2012 -2018 |
PhD-Student at the SBI University of Rostock, Rostock/Germany |
2015 |
Research Internship University of Manchester, Manchester/UK |
2013 |
Science2020 intern University of Oxford, Oxford/UK |
2006 - 2012 |
Student of Bioinformatics |
Skills
- Research (Reading, Thinking, Developing, Publishing, Collaborating)
- Programming (C, Java, PHP, Python, Perl, Shell, Gnu R, etc)
- Administration (Docker, Web, Databases, Monitoring, Logic)
Memberships
since years | Fellow of the Free Software Foundation Europr |
since years | Member of the Chaos Computer Club |